Category: Blogs

  • Can GitHub Copilot Agentic Mode replace v0.dev?

    Can GitHub Copilot Agentic Mode replace v0.dev?

    It’s time to explore GitHub Copilot Agent Mode. With its recent release, I wanted to see if it’s as good as v0.dev and if it can help me build an app effortlessly. In this article, I’ll share my experience using GitHub Copilot Agent Mode to build an app. Additionally, I wanted to see for myself if it could automatically install dependencies like Shadcn/UI.

    Will it be my coding buddy?

    After reading GitHub’s press release, I was curious to see how it compared with v0.dev, something I use extensively for more than a year. To put it to the test, I’ll see if Copilot Agent mode can actually assist with building an app and managing my local environment.

    GItHub Copilot Agent Mode

    Build with GitHub Copilot Agent mode

    As a benchmark, I used this hello $name app, simple greeting app. The app would let users enter their name in a field and display a personalized greeting message. I have been able to give following instructions to build and deploy the app fully on Vercel cloud using v0.dev

    hello $name app on v0.dev

    Let’s go see how GitHub Copilot Agent mode can help me to build this app.


    Get start with GitHub Copilot Agent mode

    To get started, I needed to download VS Code Insiders. I followed the instructions on Visual Studio Code Insider to get it.

    Once I installed it, I opened the settings page, typed “Agent” in the search field, and checked the box to enable the Agent Mode setting for GitHub Copilot Chat.

    Enable Agent Mode on Setting page

    Then clicked the copilot icon on the right of searching field on your editor. When in the Copilot Edits panel, switch from Edit to Agent right next to the model picker.

    Choose Edit chat from a top icon / Select Agent Mode

    Ok, time to build the app. I ask it to create a Next.js app with following command:

    Help me to create a simple single-page application using Next.js, server actions, and Shadcn UI components. We will call this app as greeting-app.

    In a secouds GitHub Copilot Agent respond to check with me if I want to run a code to create a project with Next.js. After click the continue button, it will automatically run the code on your terminal.

    While the GitHub Copilot Agent performs tasks automatically for me, it still gives me the option to accept or undo the changes. This provides me with great flexibility and control over my project’s structure.

    In the next step, I was prompted to install Shadcn/UI in the project. On the first attempt, an error occurred because the ‘shadcn-ui’ package was deprecated.

    Agent Mode detected the error and automatically modified the package name. Without any additional commands, it troubleshot the issue and corrected the code.

    Agent Mode showed me the next step to create a directory and a file to handle the app functionality.

    GitHub Copilot Agent troubleshoot the errors automatically

    Facing the model errors

    It seemed like Copilot Agent was trying to create the directory and file, but it kept loading and didn’t respond to the command. I tried restarting the project and asked it to help me implement the server action, but it still wasn’t working. So, I decided to wait for about 15mins before continuing.

    Copilot stop generating the response

    After about 15 mins, I click the reload button on the chat space and now it’s working. It start from searching if there’s any existing content in the server actions file.

    It first analyzed my project structure, checking the relating files to server actions. It identified that the greeting.ts file was empty and suggested implementing server actions to submit and retrieve greetings. Additionally, it proposed updating the main page to integrate these actions using Shadcn/UI components.

    Copilot Agent modified the main page by adding a greeting form and a list to display submitted greetings. It implemented server actions and integrated Shadcn/UI components for a better user experience. After checking for errors, it confirmed the code was ready to use, with an explanation to suggest using Database in a production. Let’ see how the app looks like now.

    GitHub Copilot Agent analyze the project files
    Summary of the changes

    With just few commands I gave—this is the result. The page includes Shadcn/UI input, button, and card components, all installed automatically by GitHub Copilot Agent. I didn’t specify the exact layout, at this moment but it generated the necessary components to display greetings and even added a recent greetings history.

    hello $name app built with GitHub Copilot Agent Mode


    Style up the page

    Let’s see if I can style it to match the version I created on v0. dev Following the same instructions, I ran a few commands to test its capabilities.

    Help me to update the page. The page should Include the following items. 
    Field and Submit Button: Add an input field for the user to enter their name. 
    Include a submit button styled using Shadcn UI. 
    When the button is clicked, use a server action to process the input and 
    return a greeting message: 'Hello [Name]!'. 
    Display Greeting Message: Show the greeting message below the form after 
    submission. 

    I could see the updates happening in real-time in my workspace. Once the process was complete, it highlighted the modified sections, allowing me to review and either keep or undo the changes.

    Real-time updates
    User can accept or undo the changes

    The final result looks great! The app is now streamlined with a single input and button, displaying “Hello [Name]!” as the output.

    hello $name app now has a single input and button


    Next, I want to add an explanation section using Shadcn/UI‘s Card and Accordion components for styling. To do this, I ran the following commands:

    Help me to add Explanation section on the page. Use Shadcn UI components 
    (Card or Accordion) to style this section. 
    Cover the following topics: 
    How server actions process the input and return the response. 
    The Shadcn UI components used. 
    Key Next.js 15.1 features involved in 
    the implementation. 

    The result?—It’s amazing. First, it checked whether the necessary Shadcn components were available, then installed them for the page.

    Now, the explanation section is beautifully styled with Shadcn/UI’s Accordion components.

    What’s fascinating is that it even generated content for the each topics I wanted to cover.

    This is a comparison between v0.dev and GitHub Copilot Agent Mode. There are a few differences in the styles, such as the submit buttons, but overall, the basic layout is quite similar. I was able to build the app with the same functions using GitHub Copilot Agent Mode.

    You can use the instructions to do this yourself. Find the instrctions on this course:

    Next.js 15 for Beginners: Build, Style, and Deploy Your First App with Shadcn UI and Vercel


    Thoughts for using GitHub Copilot Agentic Mode

    After using GitHub Copilot Agent Mode, I’m genuinely impressed by how effortlessly it can bring an app idea to life. With just few commands, it not only built the app but also installed the necessary dependencies without me having to do any manual setup.

    What stood out the most was its ability to analyze my project structure, detect issues, and fix them automatically. Instead of constantly switching between the terminal and my editor, I could watch it troubleshoot problems in real time, making the entire development process much smoother.

    Compared to the earlier version of Copilot, Agent Mode feels like a real coding assistant. It asks for permission before installing dependencies, giving me control over what gets added to my project. It also highlights the changes it makes, allowing me to accept or reject them as needed.

    And the fact that it works directly in VS Code—a tool I already use daily—makes it even more convenient. Overall, Agent Mode feels like having an extra set of hands that understands my workflow and helps me move faster without sacrificing control.


    Relate Courses:


    Key Technologies Mentioned:

    Project Github repo : Hello $name App

  • Reusable Dialog Component for Add and Edit Operations

    Reusable Dialog Component for Add and Edit Operations

    “Add” and “Edit” again and again…

    In most applications, managing “Add” and “Edit” operations is a fundamental requirement. At first, I created separate modals for each entity—users, products, and orders—thinking it was the simplest approach. How this approach becomes increasingly difficult to maintain as the number of entities grows and leads to these problems:

    The problems

    • Code Duplication: Each entity (users, products, orders, etc.) requires a separate dialog for both adding and editing.
    • Inconsistent UI/UX: Since each dialog is manually created, UI inconsistencies may arise across different components.
    • Increased Maintenance Overhead: Any UI or functional update to modals needs to be replicated across all individual dialogs.

    What’s the typical Alternatives?

    Separate Add & Edit Dialogs

    Pros: Allows complete customization for each dialog.

    Cons: Leads to repeated code, inconsistency, and increased maintenance efforts.

    One Generic Dialog but Manually Configured Per Page

    Pros: Reduces some duplication.

    Cons: Still requires repetitive setup, and developers may need to pass multiple props repeatedly.

    Custom Hook for Dialog Logic

    Pros: Helps manage dialog state and form submission logic efficiently.

    Cons: Still requires individual dialogs per use case.

    A more scalable approach is to use a single, opinionated dialog component that dynamically adapts based on whether it’s being used for adding or editing. This ensures consistency while reducing redundancy, making it easier to maintain in the long run.


    Introducing MutableDialog

    The MutableDialog component addresses these challenges by offering a structured way to handle both “Add” and “Edit” operations within a single, reusable dialog box. It integrates seamlessly with React Hook Form and Zod for validation, ensuring robust form handling.

    This dialog component is “opinionated”—it follows a defined pattern that standardizes dialog interactions. While it simplifies development in many cases, it also comes with trade-offs, which we’ll explore later.

    Core Features:

    • Dynamic Behavior: Determines whether it’s in “Add” or “Edit” mode based on the presence of default values.
    • Standardized UI: Ensures a consistent user experience across different forms.
    • Validation Support: Uses Zod schemas to enforce validation rules.
    • Reusable Structure: Accepts custom form components, allowing flexibility within a predefined framework.


    Boosting your Productivity with ActionState<T>, Toast Notifications, and Type Safety

    The MutableDialog component also includes several features that improve error handling, user feedback, and code maintainability.

    1. ActionState<T> for Standardized Server Responses

    The ActionState<T> interface provides a structured way for backend or server actions to communicate success or failure messages to the frontend. This ensures consistency in error handling and additional data processing upon success.

    export interface ActionState<T> {
      success: boolean;
      message: string | null;
      data?: T;
    }
    • Consistent Error Handling: Since the backend always returns a standardized response, developers don’t need to manually check response formats.
    • Predictable Behavior: Ensures that every action (add/edit) provides a clear indication of success or failure.

    The data property in ActionState<T> allows additional information to be returned from server actions. This flexibility is useful for uUI updates or logging.

    Use Case: Update Person info

    Imagine a Person Search feature where admins can update a user’s details (e.g., name, email). Instead of just confirming the update, we return the updated user object so the UI can reflect changes immediately.

    Here’s how a server action might handle this:

    
    export async function editUser(data: { userId: string; name: string; email: string }) {
      try {
        const updatedUser = await prisma.user.update({
          where: { id: data.userId },
          data: {
            name: data.name,
            email: data.email,
          },
        });
    
        return {
          success: true,
          message: "User updated successfully.",
          data: updatedUser, // Returning updated user object
        };
      } catch (error) {
        return {
          success: false,
          message: "Failed to update user.",
        };
      }
    }
    

    Integrating with MutableDialog in Person Search

    When the edit action runs, we update the UI immediately with the returned user data.

    export function UserEditDialog({ user }: UserEditDialogProps) {
      const handleEditUser = async (data: UserFormData): Promise<ActionState<User>> => {
        try {
          const updatedUser = await updateUser(user.id, data)
          return {
            success: true,
            message: `User ${updatedUser.name} updated successfully`,
            data: updatedUser,
          }
        } catch (error) {
          return {
            success: false,
            message: 'Failed to update user' + (error instanceof Error ? error.message : String(error)),
          }
        }
      }
     }
    

    Instead of just returning a success/failure status, returning the updated object allows the frontend to display the latest data immediately, reducing the need for additional API calls. This approach ensures a seamless user experience with real-time updates.

    Explore Person Search App on GitHub: https://github.com/gocallum/person-search


    2. User Feedback with Toast Notifications

    The MutableDialog component integrates with toast notifications using shadcn/ui’s toast hook. This provides instant feedback to users when an action succeeds or fails.

    • Success Messages: When an operation is successful, users receive a confirmation message.
    • Error Messages: If validation or server-side errors occur, users are immediately informed.
    • Improved UX: Real-time feedback enhances user experience, preventing confusion and reducing unnecessary clicks.
    if (actions.success) {
      toast({
        title: "Success",
        description: actions.message,
        variant: "default",
      });
    } else {
      toast({
        title: "Error",
        description: actions.message || "Operation failed",
        variant: "destructive",
      });
    }
    

    3. Strong Type Safety with TypeScript Generics

    By defining MutableDialog as a generic component with T extends FieldValues, we enforce type safety and flexibility across different forms. This approach ensures that:

    • Form data structures are strongly typed, reducing runtime errors.
    • Validation schemas (Zod) and form values remain synchronized, improving developer efficiency.
    • Developers can reuse this dialog for multiple entities (users, products, etc.) without changing its core implementation.
    export default function MutableDialog<T extends FieldValues>({
      formSchema,
      FormComponent,
      action,
      defaultValues,
    }: GenericDialogProps<T>) {
    

    Using TypeScript generics makes it easier to enforce constraints and validate form inputs at compile time, ultimately leading to fewer bugs and more predictable behavior.


    MutableDialog usage : trigger buttons
    Highlight sections can be edit with MutableDialog

    Props Overview

    MutableDialog accepts the following props:

    • formSchema: A Zod schema defining the validation rules for the form.
    • FormComponent: A React component responsible for rendering the form fields.
    • action: A function to handle the form submission (e.g., adding or updating a user), utilizing ActionState<T> to standardize responses.
    • defaultValues: Initial values for the form fields, used for editing existing data.
    • triggerButtonLabel: Label for the button that triggers the dialog
    • addDialogTitle / editDialogTitle: Titles for the “Add” and “Edit” modes.
    • dialogDescription: Description displayed inside the dialog.
    • submitButtonLabel: Label for the submit button.

    This code defines the MutableDialog component that handles both “Add” and “Edit” operations dynamically by adjusting the dialog content based on whether default values are provided. Now, let’s look at how we can use this component in your application.


    Usage Example

    Here’s how you can use MutableDialog in your application:

    Step 1: Define a Zod Schema

    import { z } from 'zod';
    
    const userSchema = z.object({
      name: z.string().min(1, 'Name is required'),
      email: z.string().email('Invalid email'),
    });
    
    

    Step 2: Create a Form Component

    import { useFormContext } from 'react-hook-form';
    
    function UserForm({ form }) {
      return (
        <div>
          <label>Name:</label>
          <input {...form.register("name")} />
          <label>Email:</label>
          <input {...form.register("email")} />
        </div>
      );
    }
    
    

    Step 3: Use MutableDialog in Your Page

    import MutableDialog from './components/mutable-dialog';
    
    export function UserDialog() {
      const handleAddUser = async (data: UserFormData): Promise<ActionState<User>> => {
        try {
          const newUser = await addUser(data)
          return {
            success: true,
            message: `User ${newUser.name} added successfully`,
            data: newUser
          }
        } catch (error) {
          return {
            success: false,
            message: 'Failed to add user ' + (error instanceof Error ? error.message : 'Unknown error')
          }
        }
      }
    
      return (
        <MutableDialog<UserFormData>
          formSchema={userFormSchema}
          FormComponent={UserForm}
          action={handleAddUser}
          triggerButtonLabel="Add User"
          addDialogTitle="Add New User"
          dialogDescription="Fill out the form below to add a new user."
          submitButtonLabel="Save"
          defaultValues={defaultValues} 
        />
      )
    }
    

    Full tutorial of Mutable dialog can be found on this course : Click


    Pros & Cons of MutableDialog

    ✅ Pros

    • Simplifies Code: Eliminates the need for multiple modal components.
    • Consistency Across UI: Provides a uniform experience for add/edit dialogs.
    • Works Well for Standard CRUD Forms: Best suited for simple forms that require a dialog-based interaction.

    ❌ Cons

    • Not Ideal for Complex Workflows: If additional business logic or multiple steps are required, this component might not be flexible enough.
    • Limited Button Customization: If different button behaviors (e.g., separate “Cancel” and “Close” actions) are needed, additional modifications are required.
    • Toast Notifications May Not Be Desired: If a project has a different notification system, the built-in toast functionality may be unnecessary.

    Conclusion

    By introducing a dynamic, reusable dialog component, I streamlined the way forms are managed across the application. This approach reduces redundancy, improves maintainability, and ensures a consistent user experience.

    Whether you’re a solo developer looking to simplify your workflow or part of a larger team aiming for UI consistency, this solution provides a scalable and efficient way to handle “Add” and “Edit” operations seamlessly.


    Relate Courses:

  • Claude Code Review: How AI Coding Assistants Helped Me to understand Code

    Claude Code Review: How AI Coding Assistants Helped Me to understand Code

    Overcoming Challenges in Understanding a Codebase

    Starting on a new project can be overwhelming, especially for junior developers. One of the biggest hurdles is grasping the entire code structure. I’ve personally struggled with this when I first started working on an app, and I know many other junior developers face the same challenge. Understanding how different components interact, identifying key functions, and making modifications confidently can feel daunting.

    Anthropic recently launched an overview of Claude Code, detailing its capabilities in assisting with development tasks, debugging, and code explanations. In this article, I’ll share my experience testing Claude Code on a Next.js project and how it can help developers navigate complex codebases more efficiently.


    What is Claude Code?

    Claude Code is an AI-driven coding assistant designed to integrate directly into your terminal. It provides insights into your codebase, helping developers understand, modify, and debug their projects more effectively.

    Key Features:

    1. Explaining Code Structure – Claude Code can analyze and explain how different parts of the codebase work together.
    2. Modifying and Debugging Code – It assists in making changes and fixing errors across multiple files.
    3. Running and Fixing Tests – It can execute test cases and troubleshoot failing tests.
    4. Navigating Git History – Helps resolve merge conflicts, track changes, and manage commits.


    Getting Started with Claude Code

    Before setting up Claude Code, make sure your system meets the following requirements:

    Step 1: Prerequisites

    • Node.js and npm: Since Claude Code runs on Node.js, you’ll need Node.js 18+ and npm installed on your machine. If they are not already installed, you can download them from the official Node.js website.
    • Anthropic API Key: To use Claude Code, you’ll need an API key for authentication. Sign up on the Anthropic platform, generate your API key, and ensure it is properly configured.

    More details on system requirements and pricing can be found in Anthropic’s documentation: Claude Code Overview

    Step 2: Installation

    Once you’ve met the prerequisites, follow these steps to install Claude Code:

    1. Open Your Terminal: Launch your terminal (Command Prompt on Windows via WSL, Terminal on macOS/Linux).
    2. Install Claude Code Globally: Run the following command to install Claude Code globally on your system: npm install -g @anthropic-ai/claude-code This command will download and install the Claude Code package from npm.
    3. Authenticate: After installation, start Claude Code by typing: claude You’ll be prompted to complete a one-time OAuth authentication process. Follow the instructions to link Claude Code to your Anthropic Console account using your API key.


    Testing Claude Code in the App

    To evaluate Claude Code’s capabilities, I tested it on a Next.js application called Person Search. This app allows users to add and search for people from a pre-populated list and view detailed information about them.

    1. Open your App and run instance of Claude code on your terminal
    cd /path/to/project
    claude

    We are now be in the Claude Code interactive mode, where we can start issuing commands. Claude code has now access to all of the files in this repository.

    2. Activate your billing on your Anthropic account

    To start using Claude code you’ll need an API key for authentication. If this error shows on on your terminal, you need to sign up on the Anthropic platform, generate your API key, and ensure it is properly configured.

    Setting up your billing on anthropic console. Make sure you have enoght credit balance on your account.


    TEST 1: Ask for the project structure

    Let’s try the first command. I will ask Claude Code to explain the project structure. While I already know that this app allows users to add, search, and view details of people, I am not entirely familiar with how the codebase is organized. By running the command below, I want to see how Claude Code can explain of the project.

    
    > explain to me this project structure

    Claude Code provided the following response:

    Here’s a breakdown of its key components based on Claude Code analysis:

    • Next.js app router structure (app/ directory) Claude Code immediately identified that the project follows Next.js’s app router structure.
    • User search and management interface It includes a user search and management interface, featuring components for displaying, editing, and deleting users.
    • API routes for fetching people data API routes handle fetching people data, allowing the frontend to retrieve user information dynamically.
    • UI components using Shadcn/UI (components/ui/ directory) The UI is built using Shadcn/UI, with reusable components stored in the components/ui/ directory.
    • Command palette for search functionality The app features a command palette that enables users to search efficiently.
    • Theming support with light/dark mode It supports theming functionality, offering both light and dark mode options.

    Additionally, Claude Code pointed out that the project uses TypeScript, Tailwind CSS, and modern React patterns with client-side hooks.

    In less than 5 secounds, Claude Code provided a structured explanation of the project, confirming that it is a Next.js web application designed for person/user search functionality. Not only it knows what the app is for, but also it provides a deeper insight of the app.


    TEST 2: Ask for a High-Level Overview

    To see how Claude Code responds to different phrasings of the command, I ran the following line:

    
    > give me an overview of this codebase

    Claude Code provided the following response:

    While both commands give us similer insight of the app, I found there are some key differences in focus.

    Common Findings from Both Commands

    Both responses confirmed that this is a Next.js person search application that follows modern React patterns with TypeScript and Tailwind CSS. They also highlighted the use of Shadcn/UI for UI components and mentioned that the app supports light and dark mode themes.

    Differences Between the Responses

    AspectCommand 1: Project StructureCommand 2: Codebase Overview
    Primary FocusDirectory structure & component organizationFeatures, architecture, and recent updates
    RoutingMentions Next.js app router (app/ directory)Specifies Next.js 15.1 with Server Components
    FunctionalityHighlights user search, management, and API routesEmphasizes search with async filtering & CRUD operations
    UI ComponentsNotes Shadcn/UI components in components/ui/Confirms Shadcn/UI but also mentions form validation with Zod
    Data HandlingMentions API routes for fetching user dataPoints out server actions for data operations
    React FeaturesUses client-side hooks for state managementMentions React 19 concurrent rendering & client/server component separation
    Recent UpdatesNo mention of recent updatesLists toast notifications, TurboPack optimization, and dark mode support

    Key Takeaways

    • Command 1 (“Explain the project structure”) focused on how the project is organized, providing details about directories, components, and API routes.
    • Command 2 (“Give me an overview of the codebase”) provided a higher-level summary, emphasizing features, architecture, and recent updates.

    This comparison shows that Claude Code adapts its response based on the phrasing of the command, making it useful for different levels of understanding.

    In less than a minute, Claude Code provided me with a clear overview of the app by quickly identifying key components. This helped me speed up the onboarding process for the project.


    TEST 3: Finding the Right Files for Changes

    Understanding the project overview is already a huge help, but figuring out the right file or path to modify can still take time. For this final test, I want to see if Claude Code can help me quickly locate the correct files for making changes.

    Let’s say your manager asks you to update the styling of the User Detail Card in the Person Search app—how easily can Claude point you in the right direction?

    To help me identify the relevant files, I ran the following commands. At this point, I hadn’t specified any files or paths.

    
    > Help me find the relevant files.
    We need to update the User Detail Card. List all the files related to it.

    After running the command, Claude Code automatically creates a task to find all related files. During the screening process, you can see Claude’s file analysis progress in the terminal.

    As a result, Claude listed all the files related to the User Detail Card. I expected it would find user-card.tsx, but what’s fascinating is that it also found files containing components related to the User card without being given the project structure. Additionally, it explains the purpose of each file following the file paths. With this information, I now know which files to modify.

    Through these tests, Claude Code proved its ability to quickly analyze the project structure, provide a high-level overview, and locate relevant files. Test 1 highlighted its understanding of the Next.js app structure, while Test 2 showed how it adapts to different command phrasing, shifting from file organization to features and updates. Test 3 demonstrated its accuracy in finding specific files for modifications without prior knowledge of the codebase.


    Conclusion

    After testing Claude Code, I’m genuinely impressed by how well it understands and navigates a project’s structure. Unlike other GenAI tool I’ve used, which often require me to copy and paste snippets or repeatedly explain the project, Claude Code works directly within the repository, making the whole process much smoother.

    What stood out the most was its ability to quickly provide structured insights about the codebase without any extra setup. I can see this being incredibly helpful for junior developers, as it removes the initial struggle of figuring out where everything is. From my experience, having this kind of support can speed up onboarding and improve overall team efficiency, making it a valuable tool for any development workflow.

  • Business Analytics: Bridging the Gap Between Data and IT—Opportunities and Challenges

    Business Analytics: Bridging the Gap Between Data and IT—Opportunities and Challenges

    Over the years, I’ve been asked by many graduates in Australia—often with a Masters in Business Analytics and backgrounds outside of ICT—about the career opportunities in business analytics. There’s a significant misconception that business analytics is the same as being a tech (ICT) business analyst.

    Simply put, it’s not.

    I’ve even created an entire course, the Business Analyst Role Guide, to explain what’s expected from a tech business analyst. So where does that leave business analytics graduates? It leaves a huge opportunity for non-ICT professionals to learn foundational analytics that will empower them to excel in business functions.


    The Misconception: Business Analytics vs. ICT Business Analysis

    There’s widespread misinformation among graduates that the two roles are interchangeable. Business analytics, as taught in many postgraduate programs, focuses on data interpretation and generating insights to drive decision-making across various business functions. In contrast, a tech or ICT business analyst not only needs to understand data but also the technical underpinnings of IT systems. They’re expected to bridge the gap between business needs and the technology that delivers solutions.

    For example, a tech business analyst must:

    • Understand the technical architecture of systems.
    • Engage early with cybersecurity and privacy teams.
    • Translate business requirements into technical specifications that engineers can act upon.

    This depth of technical understanding is often not part of a typical business analytics curriculum. But that doesn’t mean business analytics graduates are without opportunities—it just means the path might require additional learning and a pivot towards embracing IT fundamentals.


    Opportunities for Non-ICT Professionals

    Elevating Business Functions with Analytics

    In my career, I’ve worked closely with sales and marketing operations at companies like Microsoft. I spent countless hours in monthly, quarterly, half-year, and annual business reviews, often wrestling with Excel spreadsheets. Imagine how much more powerful these processes could be with a bit of Python knowledge and a deeper understanding of analytics. With these skills, one can analyze business performance more effectively and drive data-driven decisions that truly move the needle.

    Similarly, in the health industry, I’ve often had to dive deep into service delivery data. While spreadsheets are a starting point, many insights come from collaborating with data engineers to extract and manipulate data based on complex business rules. Sometimes the data isn’t neatly packaged in a single sheet—it requires basic VLOOKUPs in Excel, or even more complex manipulations, to shape it for meaningful analysis.

    In every industry—from healthcare to finance, from sales to marketing—the ability to harness analytics can transform operations and improve outcomes.

    Expanding Career Horizons

    For non-ICT professionals, learning business analytics opens up exciting opportunities beyond traditional roles. These roles aren’t necessarily “IT jobs” in the classic sense—they’re business roles empowered by IT. When you know how to work with data, even basic IT skills can give you an edge in strategic decision-making.

    Yet, here lies a challenge for many business analytics graduates—especially international students—who often aim for classic IT roles. There’s a substantial IT professional shortage in Australia, but there’s also a significant knowledge gap. Transitioning from business analytics to a mainstream IT role, such as a tech business analyst, often requires experience working with both engineering teams and business stakeholders. The leap to software engineering, cloud computing, or software implementation demands even more specialized skills.

    With the advent of generative AI, some of these gaps can be reduced, but the foundational knowledge remains essential—and often, it’s outside the scope of typical business analytics programs.


    Navigating the Gap: Next Steps and Learning Opportunities

    To pivot from business analytics into mainstream IT roles, a considerable amount of learning is necessary. I’ve seen this gap firsthand. Fortunately, there are resources and courses designed to help bridge this divide.

    Courses and Resources

    I’ve released a series of free courses aimed at providing practical, foundational knowledge in analytics:

    Coming soon, I’m also launching a suite of business analytics courses tailored for non-ICT professionals in fields like finance, sales, and marketing.

    For those looking to bridge the gap to mainstream IT roles, I also offer courses such as:

    • Getting Started with Gen AI using v0.dev and Next.js (Vercel):
      This course provides a taste of modern development practices and how AI can streamline processes, helping to close the skill gap for aspiring tech business analysts.

    By building on these learning opportunities, business analytics graduates can gradually acquire the technical skills needed to transition into IT roles that are in high demand.


    The Future of Business Analytics: Embracing a Hybrid Model

    The landscape isn’t binary—it’s not about choosing between a pure business analytics role and a tech role. Rather, the future likely lies in a hybrid model where professionals are well-versed in both analytics and IT. This hybrid skill set is particularly valuable in today’s data-driven business environment.

    In such roles, you don’t just work with data; you’re also expected to understand the underlying systems that generate, process, and secure that data. This dual expertise allows for more agile decision-making and fosters better collaboration between business and engineering teams.


    Conclusion: Embrace the Learning Journey

    There’s no doubt that there’s a huge opportunity for non-ICT professionals to excel in business analytics. However, the misconception that business analytics is the same as being a tech business analyst can be misleading. To truly succeed and unlock the potential of data-driven decision-making, it’s essential to acquire a foundational understanding of IT—from system architecture and secure data handling to agile project methodologies.

    For those of you navigating this transition, I encourage you to explore the free courses and resources I’ve developed, and to consider additional training to bridge the gap. Whether you’re aiming for a role in finance, sales, marketing, or a more technical business analyst position, the skills you develop today will be the stepping stones for tomorrow’s success.

    The demand for IT professionals remains high in Australia, and by embracing this hybrid approach, you can position yourself to not only fill that gap but also to drive innovative, data-driven solutions in any business environment.

    Embrace the journey of continuous learning, leverage the available resources, and remember—your ability to blend business analytics with IT expertise is the key to unlocking a brighter, more dynamic career.

  • From Material UI to Shadcn: My Journey to a Minimalist, Next.js-Driven UI Framework

    From Material UI to Shadcn: My Journey to a Minimalist, Next.js-Driven UI Framework

    For years, I relied on Material UI—Google’s UI framework that leveraged a familiar design language inspired by the look and feel of Google apps. Given that billions of people use Google’s ecosystem every day, Material UI’s consistent and intuitive design was a natural choice for building interfaces with a familiar and reliable user experience.

    However, as my projects grew alongside my evolving tech stack, I found myself increasingly drawn to a different approach—one that better aligned with my passion for modern development practices. Over the past year, my journey with Next.js, TypeScript, and the latest in React has gradually steered me away from Material UI and toward a more minimalist and flexible framework: Shadcn UI.

    In this article, I want to share why I transitioned from Material UI to Shadcn, the benefits I’ve experienced, and how this shift fits into my broader evolution as a developer working with modern technologies like Tailwind CSS.


    The Allure of Material UI

    Material UI, developed by Google, became popular because of its polished design and the familiarity it provided. With billions of users accustomed to Google’s design aesthetics and behavior, adopting Material UI made it easy to create applications with a consistent, user-friendly interface. It was a no-brainer for projects that required a reliable and tested design system.

    But as much as I appreciated Material UI’s robust components and well-established themes, my development needs began to outgrow what it could offer—especially as I increasingly embraced Next.js’s latest features.


    My Evolution with Next.js and Modern React

    My journey into modern web development took off with Next.js. I started using Next.js since version 13 with the traditional page router. However, over the last couple of years, I have incrementally moved to the new app router paradigm. This shift allowed me to take full advantage of Next.js’s innovative features such as:

    • Server Actions and Server Components: Enabling more efficient data fetching and rendering.
    • Server-Side Rendering (SSR): Delivering faster, SEO-friendly applications.
    • Type Safety with TypeScript: Reducing bugs and enhancing code maintainability.

    As I began working with React 19 (RC) and experimenting with cutting-edge updates, I faced several breaking changes. Yet, these challenges also paved the way for a more refined development experience. The move to React 19 reinforced my preference for a minimalist aesthetic—a black-and-white styled design that resonated with modern apps like ChatGPT and the sleek, elegant design of Apple’s ecosystem.


    Discovering Shadcn: A Minimalist, Tailwind-Driven UI

    One of the pivotal moments in my journey was discovering v0.dev, a tool that rapidly generates React components with a strong emphasis on type safety and design principles. With intimate support for Next.js 15, React 19, and early Canary versions, v0.dev naturally produced components based on Shadcn’s design philosophy.

    Why Shadcn Stood Out

    • Minimalist Aesthetic:
      Shadcn’s design is clean and understated, a stark contrast to the more complex themes of Material UI. This minimalist approach has become increasingly appealing as modern web apps favor simplicity and clarity.
    • Tailwind CSS Integration:
      My shift to Tailwind CSS was a game changer. Shadcn’s seamless integration with Tailwind has allowed me to create consistent, scalable, and highly customizable interfaces that are easier to maintain.
    • Rapid Prototyping and Customization:
      With v0.dev’s assistance, I quickly prototyped components with Shadcn as the default. This not only accelerated my development workflow but also provided a solid foundation to build custom components. For example, I developed a custom MutableDialog component for common CRUD operations, and a Search Command component that replicates the functionality of React Select while remaining fully compatible with React 19 and Next.js 15.1.
    • Community Momentum:
      The growing popularity of Shadcn—evidenced by its rising download numbers and enthusiastic community—reinforced my decision. As Next.js continues to gain traction among some of the world’s biggest brands (including Vercel, Netflix, Twitch, and TikTok), it became clear that a framework like Shadcn, which aligns with modern development paradigms, was the way forward.

    Building Custom Components: MutableDialog and Search Command

    One of the standout benefits of moving to Shadcn is the flexibility it provides for building custom components. Over the past year, I have developed several bespoke components on top of Shadcn:

    • MutableDialog:
      A highly opinionated dialog component designed to manage the common create and update patterns in CRUD applications. This component offers a consistent and user-friendly way to handle form submissions and data updates.
    • Search Command:
      Initially, I missed the autocomplete functionality I had grown accustomed to in Material UI. While I temporarily substituted this with react-select, I eventually created my own reusable component called Search Command. This component extends Shadcn’s Command component and works similarly to React Select, but is fully compatible with the latest versions of React and Next.js.

    For a practical demonstration, you can check out my person search application on GitHub. In this project, I integrated both MutableDialog and the Search Command component to create an application that allows users to auto-complete a person search, trigger server actions, display selected user details in a card, and support user editing and creation.


    Why I’ve Left Material UI Behind

    While Material UI, with its rich set of components and familiar design language, was an excellent choice for many years, my evolving needs have driven me toward Shadcn. The decision was influenced by:

    • The Evolving Next.js Ecosystem:
      As I fully embraced the latest features of Next.js and React, I needed a UI framework that could keep up with my development pace and provide a flexible, minimalist design.
    • A Shift to Tailwind CSS:
      The adoption of Tailwind CSS has streamlined my styling process, and Shadcn’s integration with Tailwind provides a natural extension of this approach.
    • Modern Aesthetic and Rapid Development:
      The minimalist, modern aesthetic of Shadcn resonated with my design sensibilities, and tools like v0.dev have made rapid component creation a breeze.
    • Community and Future-Proofing:
      With Next.js being adopted by leading brands worldwide, moving to a framework like Shadcn that’s gaining momentum ensures that my projects are future-proofed for the evolving web landscape.

    Embracing the Future: Continuing to Innovate with Shadcn and Next.js

    It’s been a year since I made the transition from Material UI to Shadcn, and I haven’t looked back. My journey has allowed me to build consistent, high-performance front-end applications that leverage the best of modern web technologies. As Next.js continues to evolve and gain popularity among industry giants like Netflix, Twitch, and TikTok, I’m excited to explore even more innovative ways to build and customize user interfaces.

    Additionally, I’ve been developing courses to help others navigate this modern ecosystem. For instance:

    • NextJS 15 Secure Full Stack:
      This course covers the details of secure full-stack development with Next.js 15. We explore Next.js architecture, the use of AuthJS, and integrating with external providers like Azure Active Directory and Google Auth.
    • AWS Cybersecurity Course:
      Focused on modern cloud environments, this course teaches secure serverless architectures using AWS Lambda, securing APIs with AWS API Gateway, and managing authentication with AWS Cognito.

    These courses are designed to empower developers and IT professionals to build secure, modern applications while keeping pace with the latest advancements in web development.


    Conclusion

    Switching from Material UI to Shadcn has been a transformative journey—one that reflects the broader evolution of web development. While Material UI offered a familiar and robust design inspired by Google’s ecosystem, my deep dive into Next.js, React 19, and Tailwind CSS led me to embrace a more minimalist, flexible framework that better aligns with modern best practices. With tools like v0.dev accelerating the development process and a thriving community behind Shadcn, my decision to move away from Material UI has proven to be both practical and forward-thinking.

    If you’re working with modern frameworks like Next.js and Tailwind CSS and are seeking a UI framework that combines performance, minimalism, and flexibility, I encourage you to explore Shadcn. The future of web development is evolving, and embracing the right tools can make all the difference.


    Key Technologies Mentioned:

    Embrace change, explore new tools, and let your development practices evolve with the technology. The future of web development is bright—and it’s minimalist, secure, and built with Shadcn.

  • Cybersecurity as a Core Competency: Integrating Security into Every IT Role

    Cybersecurity as a Core Competency: Integrating Security into Every IT Role

    Cybersecurity is no longer an optional extra—it’s a fundamental aspect of every role in IT. Embrace the challenge, invest in your training, and make cybersecurity an integral part of your professional toolkit.

    Cybersecurity has become an essential element embedded in every IT role—from Business Analysts and Project Managers to CEOs, Company Directors, Full-Stack Developers, and Data Analysts. In today’s digital landscape, especially within Australia where legal requirements and insurance mandates are evolving rapidly, every professional must be cyber-savvy. This article explores why cybersecurity knowledge is vital across traditional roles and highlights strategies for integrating security into everyday practices.


    The Imperative of Cybersecurity in Australia

    Australia is at the forefront of addressing cyber threats. The Australian Cyber Security Centre (ACSC) provides guidance and best practices for organizations to safeguard their digital assets (ACSC, 2023). Additionally, the Privacy Act 1988, overseen by the Office of the Australian Information Commissioner (OAIC), imposes strict obligations on data protection and privacy (OAIC, 2022). Moreover, recent directives from the Australian Securities and Investments Commission (ASIC) mandate that company directors and senior executives implement robust cyber risk management measures (ASIC, 2023). In this regulatory environment, cybersecurity isn’t optional—it’s a legal, operational, and strategic necessity.


    Business Analysts: Bridging Business Needs and Cybersecurity

    Integrating Cyber into Requirements

    Business Analysts (BAs) are crucial in defining business requirements and shaping project outcomes. When working on systems that manage sensitive data or Personally Identifiable Information (PII), BAs must incorporate cybersecurity considerations from the very start. This means:

    • Early Stakeholder Engagement:
      BAs should engage not only with business units but also with the company’s cybersecurity, privacy, and IT security teams during the project inception. By involving these stakeholders early, BAs ensure that requirements capture both business objectives and security needs, rather than waiting until issues emerge during a penetration test.
    • Understanding Technical Architecture:
      A BA must be familiar with the technical architecture of the system. Rather than leaving security to engineers alone, BAs need to understand data flows, integration points, and potential vulnerabilities. This holistic approach enables them to document cybersecurity requirements—such as encryption standards, access controls, and audit logging—as part of the overall project specification.
    • Balancing Conflicting Priorities:
      In practice, business needs may sometimes conflict with strict security measures. For instance, rapid access to data for decision-making might be at odds with rigorous access controls. A well-informed BA can mediate these discussions, ensuring that both the business and cybersecurity teams collaborate to achieve a balanced solution.

    By embedding cybersecurity early in the requirements phase, BAs help create systems that are secure by design, reducing the likelihood of costly rework later on.


    Project Managers: Embedding Security Throughout the Project Lifecycle

    Security by Design and Governance

    Project Managers (PMs) are responsible for the successful delivery of projects. In today’s threat landscape, PMs must ensure that cybersecurity is an integral part of every phase of a project—from planning to execution and review.

    • Incorporating Cyber Requirements Early:
      During the planning phase, PMs should work closely with both Business Analysts and cybersecurity experts to define clear security requirements. This “security by design” approach ensures that security measures are incorporated from the outset.
    • Allocating Time and Resources:
      Projects often run over schedule because security is treated as an afterthought. PMs must allocate sufficient time and budget for cybersecurity assessments, penetration tests, and vulnerability remediation. This proactive allocation minimizes risk and protects the project’s integrity.
    • Establishing Clear Governance:
      Cybersecurity teams should be a key part of project governance. Regular security checkpoints, risk assessments, and progress reports ensure that any potential vulnerabilities are identified and addressed throughout the project lifecycle.
    • Facilitating Cross-Functional Communication:
      Effective project management requires that all stakeholders—technical teams, cybersecurity experts, and business leaders—are on the same page. Clear communication channels and documented processes help prevent misunderstandings and ensure that security remains a priority.

    By embedding security into every stage of the project, PMs help build robust systems that are resilient against emerging cyber threats.


    CEOs and Company Directors: Cyber Literacy as a Legal and Strategic Imperative

    Legal Accountability and Risk Management

    At the executive level, cybersecurity is no longer solely an IT issue. CEOs and Company Directors are now legally required to understand and manage cyber risks. In Australia, the corporate governance framework increasingly mandates that leaders demonstrate cyber literacy.

    • Legal Mandates for Directors:
      ASIC has reinforced the duty of company directors to implement effective cybersecurity measures. Failure to do so can lead to significant legal repercussions and financial penalties (ASIC, 2023). High-profile data breaches have shown that directors may face direct accountability if cyber risks are not managed appropriately.
    • Insurance Requirements:
      Insurers now scrutinize the cybersecurity practices of an organization before issuing policies. CEOs and directors who fail to prioritize cyber risk management may face higher premiums or even find it challenging to secure adequate coverage.
    • Strategic Decision-Making:
      Beyond compliance, cyber literacy at the executive level is crucial for informed strategic decision-making. Understanding cyber risk reports, assessing the potential business impact of cyber incidents, and making data-driven decisions about security investments are all critical skills for modern leaders.

    By being well-versed in cybersecurity, CEOs and directors can lead their organizations more effectively, ensuring that cyber risk is managed as a core aspect of overall business strategy.


    Full-Stack Developers and Engineers: The Technical Guardians

    Building Secure Systems from the Ground Up

    For full-stack developers and engineers, cybersecurity is an inherent part of system design and implementation. Modern application development requires a comprehensive understanding of secure coding practices and system security.

    • Secure Coding Practices:
      Developers must be proficient in writing code that is resilient against common vulnerabilities such as SQL injection, cross-site scripting (XSS), and insecure API calls. As frameworks like React 19 evolve—with features such as server actions that abstract away certain complexities—it remains critical to understand the underlying security principles. Developers need to be aware of how APIs are called, how to manage keys and tokens, and how to implement proper authentication and authorization mechanisms.
    • End-to-End Security:
      Security must be built into every layer of the application—from frontend interfaces to backend servers and databases. This involves integrating security testing tools, conducting regular code reviews, and using static and dynamic analysis to identify potential vulnerabilities early in the development cycle.
    • Rapid Response and Remediation:
      When vulnerabilities are identified, developers must be able to quickly remediate issues. This requires a deep understanding of not only how code functions but also how it interacts with various systems and external services.

    By adopting an end-to-end security mindset, full-stack developers and engineers can create systems that are not only functional and efficient but also robust against cyber threats.


    Data Analysts: Protecting Sensitive Data Throughout Its Lifecycle

    Securing Data Access and Usage

    Data Analysts are tasked with transforming raw data into actionable insights, but they must also be vigilant about securing that data. With sensitive information often at stake, data analysts need to adopt robust security practices.

    • Local Device Vulnerabilities:
      Data analysts frequently work with data on local machines or laptops, which can be particularly vulnerable to theft or malware. Implementing encryption, secure storage practices, and strict access controls is essential to protect this data.
    • Managing Data Exports:
      When exporting data for ad hoc analysis or sharing via spreadsheets, analysts must ensure that sensitive data is properly anonymized or encrypted. Unauthorized access to this data can lead to significant breaches and regulatory violations.
    • Compliance with Privacy Regulations:
      Adherence to laws such as the Privacy Act 1988 and the Notifiable Data Breaches (NDB) scheme is critical. Data analysts need to be aware of these requirements and incorporate privacy considerations into their workflows (OAIC, 2022).
    • Ethical Data Handling:
      Beyond technical measures, data analysts must consider the ethical implications of data handling, ensuring that data usage aligns with both regulatory mandates and organizational values.

    By safeguarding data at every step, analysts help build trust and ensure that the insights they generate are both actionable and secure.


    Building a Cyber-Savvy Organization: Training and Cross-Functional Collaboration

    Comprehensive Training Programs

    To successfully integrate cybersecurity into every role, organizations must invest in robust training programs tailored to the unique needs of various positions:

    • For Business Analysts and Project Managers:
      Training should focus on cybersecurity fundamentals, risk assessment, and the integration of cyber requirements into project planning. This ensures that these professionals can effectively bridge the gap between business needs and technical security requirements.
    • For Executives and Directors:
      Programs should emphasize strategic cyber risk management, legal obligations, and the financial implications of cyber incidents. This helps leaders make informed decisions that balance risk with business opportunity.
    • For Technical Staff:
      In-depth training on secure coding practices, DevSecOps, and incident response is crucial. Continuous education in the latest cybersecurity trends and tools ensures that technical teams remain equipped to handle emerging threats.

    Cross-Functional Cyber Teams

    Forming cross-functional teams that include representatives from business, technical, and cybersecurity domains can help break down silos and promote a unified approach to risk management. These teams can collaborate on:

    • Security Initiatives:
      Working together to integrate cybersecurity measures into every stage of the project lifecycle.
    • Sharing Best Practices:
      Developing and disseminating security protocols across the organization.
    • Monitoring Emerging Threats:
      Keeping abreast of the latest cyber threats and ensuring that the organization’s defenses are continuously updated.

    Leveraging Advanced Security Tools

    Modern cybersecurity tools, many powered by artificial intelligence and automation, can enhance an organization’s security posture. These tools can:

    • Detect and Respond to Threats:
      Automate the identification of vulnerabilities and facilitate rapid incident response.
    • Enhance Visibility:
      Provide comprehensive insights into system vulnerabilities, enabling proactive risk management.
    • Streamline Compliance:
      Assist in maintaining regulatory compliance by continuously monitoring security controls and practices.

    Integrating Cybersecurity Training into IT Courses

    To address the growing need for cyber literacy, I have developed several courses that embed cybersecurity into their core curriculum for IT professionals. These courses are designed to meet the demands of modern full-stack development and IT business analysis:

    • NextJS 15 Secure Full Stack:
      This course delves into NextJS architecture and covers secure full-stack development. It includes practical lessons on using AuthJS, integrating with external providers like Azure Active Directory, and implementing social authentication through Google Auth. These sessions are designed to equip developers and analysts with the knowledge to build secure web applications from the ground up.
    • AWS Cybersecurity Course:
      Focused on modern cloud environments, this course teaches how to secure serverless architectures using AWS Lambda and AWS API Gateway. It also covers authentication mechanisms using AWS Cognito. The course provides comprehensive insights into protecting APIs, managing keys and tokens, and ensuring that cloud-based applications remain secure.

    These courses exemplify the type of targeted training that can empower professionals across all roles to incorporate cybersecurity into their daily practices, ensuring that organizations are well-equipped to face modern cyber challenges.


    Conclusion: Cybersecurity—A Shared Responsibility

    Cybersecurity is not a separate function or a distinct role—it is an essential part of every IT role. In today’s environment, every professional, regardless of their title, must embrace cybersecurity as a core competency. Business Analysts must engage with cybersecurity teams early on and integrate security into requirements gathering. Project Managers need to ensure that security is embedded in every phase of project execution. CEOs and Company Directors are legally and strategically obligated to understand and manage cyber risks. Full-Stack Developers and Engineers must build secure systems from the ground up, and Data Analysts need to handle sensitive data with vigilance.

    In Australia, where regulatory frameworks such as the Privacy Act 1988 and ASIC guidelines mandate robust cyber risk management, the imperative for cyber literacy is clearer than ever. The convergence of legal requirements, operational necessities, and strategic imperatives means that cybersecurity must be woven into every facet of IT and business.

    The opportunity is vast: by embedding cybersecurity into every role, organizations can enhance resilience, ensure compliance, and foster innovation. It’s not a question of choosing between traditional roles and cybersecurity—it’s about enriching every role with the skills and knowledge to navigate today’s digital risks.

    Invest in comprehensive training, build cross-functional teams, and leverage advanced security tools to create a culture where cybersecurity is everyone’s business. The future of business depends on it.

    Are you ready to integrate cybersecurity into your role and transform your organization? The time to act is now.

  • DeepSeek: The Linux Moment for AI and the Challenges of Disruption

    DeepSeek: The Linux Moment for AI and the Challenges of Disruption

    I’ve been following the evolution of artificial intelligence for years, and I can’t help but feel that DeepSeek is poised to disrupt the industry much like Linux did in the 1990s. With over 20 years of experience working with global giants like Oracle and Microsoft—and consulting with large enterprises and government agencies—I’ve witnessed firsthand how transformative technologies can reshape our world.


    Democratizing AI: From Student days to Global Enterprise

    My journey in technology began at RMIT University, where I studied Computer Science in the 90s. Back then, access to advanced computing was a luxury. Our computer labs were few and far between, and many of us had to rely on the PCs we assembled at home. I remember the painstaking process of installing Linux from floppy disks—a far cry from today’s plug-and-play experience. We revered the massive, expensive commercial Unix systems that were completely out of reach, yet our home-built setups, though a temporary stop-gap, laid the groundwork for what is now the global industry standard.

    Fast forward to today, and I see DeepSeek carrying that same spirit of democratization. Over the past year, I’ve noticed many students in Australia using free versions of ChatGPT, which—while useful—don’t offer the full power of advanced AI. DeepSeek, with its sophisticated reasoning models and accessible pricing, promises to break down these barriers, much like Linux did decades ago.


    The Disruptive Edge: Advanced Reasoning Models and Accessible Pricing

    What excites me most about DeepSeek is its advanced reasoning engine, the R1 model. While traditional large language models like ChatGPT-4.0 generate impressively human-like text, they often stumble when confronted with complex, multi-layered challenges—especially in coding and logical reasoning.

    Why R1 and Future Reasoning Models Matter

    • Enhanced Coding Capabilities:
      I’ve been part of projects where a single coding error could derail an entire initiative. DeepSeek’s R1 model is built to break down problems step by step, debugging and optimizing code in real time. This approach is nothing short of revolutionary when you’re working on high-stakes, complex systems.
    • Superior Logical Reasoning:
      Whether I’m consulting with large enterprises or advising government agencies, I’ve seen that deep, layered logical analysis is essential. DeepSeek’s R1 model excels at decomposing intricate problems into clear, manageable steps, ensuring that every conclusion is robust and reliable—a critical capability for data analysis, financial modeling, and strategic planning.
    • Future-Proofing AI Applications:
      Technology is ever-evolving. The leap from traditional language models to reasoning-enhanced systems like R1 is not merely an upgrade; it’s a paradigm shift that prepares AI to meet the increasingly complex challenges of tomorrow.
    • Accessible Pricing:
      One of the biggest hurdles in adopting advanced AI has always been cost. Throughout my career, I’ve seen how expensive proprietary systems can stifle innovation. DeepSeek’s pricing model is designed to be accessible, empowering students, startups, and independent developers by providing robust features at a fraction of the cost—or even free. I’ve witnessed tech bootcamps struggle with tight budgets, and I firmly believe that affordable access to cutting-edge tools is essential for sparking the next wave of innovation.

    Navigating Regulatory Challenges: Insights from the Field

    Breakthrough technologies often face regulatory hurdles. Recently, both the U.S. and Australian governments have taken steps to ban DeepSeek from federal devices—a development that I understand all too well from my work with government agencies.

    U.S. Regulatory Action

    In the United States, lawmakers have moved swiftly. A bipartisan congressional bill is being introduced to ban DeepSeek from government devices on national security grounds. U.S. Reps. Darin LaHood (R-Ill.) and Josh Gottheimer (D-N.J.) are leading the charge, arguing that DeepSeek’s technology poses an espionage risk. As LaHood stated:

    “The technology race with the Chinese Communist Party (CCP) is not one the United States can afford to lose. The national security threat that DeepSeek—a CCP-affiliated company—poses to the United States is alarming.”

    Their concerns center on DeepSeek’s potential to capture login information and share it with China’s largest state-owned mobile firm, highlighting the risks of using such technology on government devices.

    Australian Regulatory Action

    In Australia, DeepSeek has been banned from all federal government devices due to security concerns. As reported by ABC News Australia:

    “DeepSeek, a Chinese AI chatbot that made headlines late last month for rivalling ChatGPT, has been banned from all federal government devices, effective immediately. The decision follows advice from national security and intelligence agencies that determined the platform posed ‘an unacceptable risk’ to national security.”

    While I understand these security concerns—having seen the critical importance of data protection in large enterprises and government agencies—I also believe that innovation must find a balance between progress and protection.


    Big Tech Perspectives on Disruption: From “Cancer” to “We Love Linux” and Beyond

    The journey of DeepSeek can be better understood by reflecting on past disruptions. In the early 2000s, established tech leaders were skeptical about open-source innovations. I vividly recall Steve Ballmer, then-CEO of Microsoft, dismissing Linux as a “cancer.” His comments embodied the broader skepticism that greeted any radical departure from the norm.

    Fast forward to today, and Microsoft has not only embraced open source but has also integrated it deeply into its services. CEO Satya Nadella famously declared, “We love Linux,” a sentiment that speaks volumes about how even former skeptics can come around when a disruptive technology proves its worth.

    Elon Musk, CEO of Tesla and SpaceX, has also shared his ambivalence about emerging technologies. While he warns, “AI is far more dangerous than nukes,” his companies are at the forefront of AI innovation—demonstrating that progress often involves a delicate balance between risk and reward.

    Then there’s Mark Zuckerberg. When Meta launched LLaMA (Large Language Model Meta AI), many believed it would democratize AI in the same transformative way that Linux did for computing. However, while LLaMA has contributed significantly to the field, it hasn’t yet achieved the widespread impact many anticipated. In my view, DeepSeek is emerging as the true disruptor—a technology that is challenging the status quo in a manner reminiscent of Linux in the 90s.

    I often say, “If we can overcome the challenges of installing Linux on home-built PCs in the 90s, we can certainly embrace and shape the future of AI.” This mantra has guided my career for over 20 years and continues to inspire my view of DeepSeek’s potential.


    Reflecting on the Past, Looking to the Future

    I still vividly remember my days at RMIT—assembling PCs at home, burning floppy disks, and painstakingly installing Linux. What once seemed like a temporary fix evolved into a revolutionary platform that underpins modern computing today. That transformative journey from scarcity to abundance is the same story I see unfolding with DeepSeek.

    In my opinion, DeepSeek isn’t just another AI tool; it’s a disruptive force that dares to challenge the established order. With its robust reasoning models and accessible pricing, it promises to bridge the gap between elite, expensive technologies and the everyday innovators striving to make a difference.


    Conclusion: Embracing the Future of AI

    DeepSeek stands at a fascinating crossroads—between immense opportunity and significant challenges. From my perspective, its advanced R1 reasoning model—and the promise of future iterations—addresses many of the limitations I’ve witnessed in traditional AI systems. Whether it’s complex coding, deep logical analysis, or multi-step problem-solving, DeepSeek offers the robustness needed to drive the next major leap in AI.

    While regulatory bans in the U.S. and Australia underscore serious security concerns, if my experience has taught me anything, it’s that every groundbreaking technology faces hurdles before it becomes indispensable. As Linus Torvalds once said, “Most good programmers do programming not because they expect to get paid or get adulation by the public, but because it is fun to program.” I see DeepSeek embodying that same spirit of innovation and curiosity—a spirit that has fueled my journey in tech for over two decades.

    I’m excited to see how this journey unfolds, and I invite you to join me in exploring the transformative potential of DeepSeek and the next generation of reasoning models. The future of AI is just getting started.

    Stay tuned.


  • Next.js 15.1: Web Revolution

    Next.js 15.1: Web Revolution

    I’ve always been a bit of a tech tinkerer—someone who’s constantly on the lookout for the next tool or framework that doesn’t just push the envelope, but completely redefines it. And let me tell you, Next.js 15.1 is that game changer. It’s not only about the shiny new features or the improved performance metrics (though those are pretty exciting on their own), it’s the ecosystem it supports that truly excites me.

    A Safer, More Harmonious Ecosystem

    For me, the allure of Next.js 15.1 lies in its robust support for building safer web applications. In an era where security isn’t optional, having a framework that puts safety at the forefront is a breath of fresh air. But it goes even further than that—Next.js 15.1 is a catalyst for a highly integrated tech ecosystem. Imagine combining Shadcn’s pre-built UI components with Auth.js (formerly Next Auth) for seamless authentication and using v0.dev to streamline development and testing workflows. With just a few clicks, you can deploy your application to platforms like AWS Amplify or Vercel. And let’s not forget the added power of Prisma ORM, which rounds out this comprehensive toolset perfectly.

    Observations from the Australian Tech Landscape

    Here in Australia, I’ve been witnessing a fascinating transformation. Large enterprises and Federal/State Governments are gradually embracing modern, agile frameworks—recognising that legacy systems need a modern upgrade to stay competitive in a rapidly evolving digital world. From government agencies to national banks and telecommunication giants, there’s a shift toward more secure and scalable technologies that enable faster deployment and improved interoperability.

    At the same time, the startup culture in Australia is buzzing with energy. I see non-tech founders with brilliant ideas finding new hope in the streamlined development processes provided by Next.js 15.1 and its allied tools. It’s an exciting time where both the public and private sectors are converging on the need for safer, more efficient web applications that are not only robust but also incredibly flexible.

    Why This Matters: Real-World Scenarios

    For the Aspiring Start-Up Founder

    Think about the start-up founder with a brilliant MVP idea who isn’t a tech expert. There’s no denying that the journey from concept to reality is filled with hurdles—especially when trying to bootstrap an MVP without a massive budget or an experienced development team. With Next.js 15.1 integrated into this powerful ecosystem, the pathway from idea to product is drastically shortened. Imagine pairing a bite-sized course from our Ausbiz Bootcamp LMS with free starter courses, using v0.dev to jump-start your development cycle, and deploying on platforms like AWS Amplify or Vercel. What used to take months or even years can now become a matter of days or weeks. Not only does this fast-track your venture, it also equips you with valuable technical skills that can make your start-up more investable.

    For the New Full Stack Engineer

    Breaking into the lucrative world of full stack engineering has always seemed like a marathon requiring years of formal education and countless hours of hands-on experience. Sure, nothing replaces real-world know-how, but the reality is that not every project demands a team of seasoned experts. For a recent graduate, Next.js 15.1, combined with its supportive ecosystem, offers the perfect environment to learn and build real-world applications from day one. This is an ideal stepping stone for those eager to contribute meaningfully to projects and rapidly accelerate their careers.

    For the Tech Transitioner

    And what about those transitioning from established tech stacks like .NET, Java, or even pure front-end development? Switching gears to a more advanced framework might seem daunting at first. However, Next.js 15.1 makes the leap both rewarding and accessible. Its modern features and supportive ecosystem not only ease the transition but also unlock opportunities in developing large-scale, industry-grade applications. Whether you’re moving into full-stack development or expanding your existing skills, this release represents a golden ticket to ride the next wave of technological demand.

    In Conclusion

    Next.js 15.1 isn’t just another update—it’s a holistic upgrade to the way we build and deploy web applications. It blends improved safety, seamless integration with a variety of tech stacks, and a supportive ecosystem into a package that’s perfect for start-up founders, budding full stack engineers, and tech professionals making a transition. Here in Australia, as we witness both governmental bodies and enterprises modernizing their digital infrastructures, and startups embracing agile methodologies, this release represents a paradigm shift in how we approach modern web development. I’m excited to dive in, experiment, and see the innovative projects that will spring from this cutting-edge ecosystem.

    Here’s to a future where building state-of-the-art web applications is faster, safer, and more collaborative than ever before!