In my last post, I vented about developers who blindly copy and paste AI-generated code without a second thought. If you haven’t read it yet, go check it out, because mi still cyaah believe seh some people a do dis.
But today, instead of just pointing out the problem, let’s talk about the right way to use AI as a developer. AI tools like ChatGPT, Copilot, and Bard can be incredibly powerful, but only when used correctly.
AI is Here to Assist, Not Replace You
AI should be treated like an extra brain in the room, not the one making all the decisions, but the one helping you think through problems.
❌ Wrong Way to Use AI:
❌ Copy-pasting full solutions without reviewing them.
❌ Replacing working code just because AI suggests something “better.”
❌ Using AI to avoid learning fundamental concepts.
❌ Trusting AI blindly without testing and debugging.
✅ Right Way to Use AI:
✅ Generating ideas and boilerplate code (not full solutions).
✅ Refactoring and improving existing code (but manually verifying the logic).
✅ Explaining concepts or debugging issues (as a learning tool).
✅ Generating documentation and comments (but reviewing for accuracy).
✅ Speeding up repetitive tasks (but maintaining full control over the process).
How AI Should Fit Into Your Development Process
If you want to use AI like a professional, follow these steps:
1. Start with Your Own Thinking First
Before asking AI to solve something for you, try to break down the problem yourself. If you don’t, you’ll never truly understand how to fix it next time.
2. Use AI for Suggestions, Not Absolute Truths
Think of AI as an intern, not a senior engineer—it can help, but you are responsible for the quality of the code. AI sometimes suggests inefficient or even insecure solutions, so always verify before using.
3. Review and Optimize Every AI-Suggested Code Block
Run AI-generated code through your own knowledge and best practices. Check for:
✔ Code efficiency
✔ Security vulnerabilities
✔ Readability & maintainability
✔ Compatibility with your project
4. Test Before You Trust
Never assume AI-generated code is flawless. Run unit tests, debug errors, and validate functionality before integrating AI-assisted changes into production.
5. Use AI for Learning, Not for Laziness
If AI helps you solve something, take the time to understand why it works. Don’t just use it as a shortcut—use it as a tool to improve your knowledge and skills.
AI Can’t Replace Critical Thinking and Security Awareness
One of the biggest risks with AI-generated code is security flaws. AI doesn’t always consider authentication, data protection, or best security practices… but you should.
If you’re a lead or senior engineer, make sure:
✔ AI-generated code is never blindly merged into production.
✔ Developers justify AI-assisted solutions before approving them.
✔ Security checks and performance benchmarks are part of the process.
Use AI Smartly, Not Recklessly
Developers who use AI responsibly become faster, better, and more efficient. But those who depend on AI without thinking will always struggle to grow in their careers.
So the next time you ask AI to write a function for you, remember:
- Stop and think about the problem first.
- Read and analyze AI’s suggestions critically.
- Review and test before implementing.