Guide
    Intermediate
    ChatGPT
    Developers and Start-up Founders
    Southeast Asia

    Prototyping and Coding with ChatGPT 4.0 and Google AI Studio

    AI Development; Coding; Prototyping

    AI Snapshot

    The TL;DR: what matters, fast.

    • Brainstorm and outline software projects
    • Generate and debug code with AI
    • Validate prototypes with testing

    Perfect For

    Start-ups and developers needing rapid development and ideation support.

    Tools like ChatGPT 4.0 and Google AI Studio ranked among the top AI searches, offering developers new ways to build and refine software quickly.

    Foundations of AI-Assisted Coding

    AI coding assistants suggest functions, debug errors and generate documentation, but require human review to ensure quality and security.

    Framework: Define → Generate → Test → Iterate

    Define requirements, use AI to write code, test it thoroughly and iterate based on results. Document decisions for maintainability.

    Common Mistakes and How to Fix Them

    Avoid copying code blindly, ignore security risks or skip architectural planning. Review outputs, perform code reviews and integrate with human design principles.

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    Prompts

    Feature Brainstorm

    Generate features

    Generate a list of five features for a mobile app that helps small businesses in Vietnam manage inventory, with a brief description for each.

    Code Generation

    Write a function

    Write a Python function to calculate the total sales tax for an order given a list of item prices and a tax rate. Include error handling for invalid inputs.

    Debugging

    Troubleshoot code

    Troubleshoot why a provided JavaScript snippet isn't updating the DOM as expected; suggest possible fixes.

    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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