How I Use AI to Write Better Code Faster Without Becoming Dependent

AI coding assistants are everywhere now. Here's how to use them as a force multiplier without letting them make you lazy.

What AI Is Actually Good At

• Boilerplate generation - Stop writing the same patterns for the 50th time
• Code explanation - Understanding unfamiliar codebases quickly
• Test writing - Generate test cases you might miss
• Documentation - First drafts of docs and comments
• Refactoring suggestions - Catching anti-patterns you missed

What AI Is Still Bad At

• System design - Understanding tradeoffs at scale
• Debugging subtle bugs - Issues that require deep context
• Security vulnerabilities - AI often suggests insecure shortcuts
• Business logic - Understanding what your app actually needs to do

My Workflow

1. Research: Use AI to understand unfamiliar code/frameworks
2. Implementation: Write the core logic myself
3. Boilerplate: Let AI generate repetitive patterns
4. Review: Use AI to check my work, not do my work
5. Tests: Generate test cases, but verify them manually

The Dependency Problem

If you can't write a function without AI suggesting it, you have a dependency problem. Every week, write some code without AI. Keep the skills sharp.

AI is a tool. Like any tool, it makes you faster. But you still need to know what you're building.