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    Install AIinASIA

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    Guide
    Intermediate
    ChatGPT
    Developers and CTOs
    Southeast Asia

    AI-Assisted Coding and Developer Tools

    Software Development; AI Coding; Productivity

    AI Snapshot

    The TL;DR: what matters, fast.

    • AI tools can write, review and optimise code.
    • Use the Define → Generate → Review framework to code with AI.
    • Maintain code quality and security through human oversight.

    Perfect For

    Developers and technical leaders aiming to accelerate software delivery.

    Some fintech startups in Southeast Asia have built internal tools that generate and debug code, analyse data and provide insights, boosting staff productivity and speeding up release cycles.

    Capabilities of AI Coding Tools

    Modern AI code assistants can suggest functions, refactor legacy code, generate documentation and help troubleshoot bugs across multiple languages.

    Define → Generate → Review Framework

    Define the problem clearly and outline the desired function, let the AI generate or suggest code, then review and test thoroughly before integration.

    Challenges and Governance

    Beware of over-reliance; AI-generated code may contain errors or insecure patterns. Establish code review processes and keep proprietary code confidential.

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    Prompts

    Function Drafting

    Generate a function

    Ask an AI assistant to write a Python function that calculates shipping costs based on weight and distance, and then refactor it for clarity.

    Debugging Assistant

    Debug a code snippet

    Provide a buggy JavaScript code snippet that fails to update a user interface. Ask the AI to identify the issue and suggest a fix.

    Documentation

    Create documentation comments

    Generate clear docstrings for a set of Go functions in a microservices architecture, explaining inputs, outputs and side effects.

    Frequently Asked Questions

    Ready to experiment?

    Pick one of these prompts and see where it takes you. The interesting bit is not just getting results - it is discovering what happens when you tweak the parameters or combine different approaches. If you end up with something unexpected (whether that is brilliantly unexpected or amusingly terrible), we would genuinely love to see it.

    Share your results, your variations, or the weird tangents you went down trying to get things just right. That is often where the best insights come from: the collective trial and error of people actually using these tools in practice.

    And if you found this useful, we have got plenty more practical how-to guides covering everything from creating images for your blog to helping you automate boring work tasks. Each one is built the same way: real techniques, actual examples, no fluff.

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