Last month, I had to build a dozen API endpoints for a new microservice. I knew the patterns – CRUD operations, SQLAlchemy models, Pydantic schemas – but typing out all that boilerplate felt soul-crushing.
I turned to AI, hoping it would save me hours. What followed was a rollercoaster of bad outputs, hallucinations, and frustration. But after a week of failed attempts, I found a prompting approach that actually produced reliable, copy-pasteable code.
This isn't a “just use this tool” story. It's about the technique that finally worked for me, with real examples you can adapt.
The Problem: AI Kept Writing Garbage
I started with the obvious: “Write a Flask route for creating a user.” The AI spat back something like:
