How I Ship Production Apps with AI as a Pair Programmer
The Setup
I started from zero code — my first commit was literally my first line of code ever. Today I ship full-stack production apps with AI as my engineering partner. No CS degree, no bootcamp, no years of tutorials. Just a clear process and an AI pair programmer on every commit.
Here’s exactly how I do it.
The Workflow
1. Problem First
I start with a clear problem statement. Not “build an app” but “a coach driver can’t know whether a narrow historic street fits their 14-metre vehicle before they commit to it.” The AI can solve constrained problems. Vague requests produce vague code.
2. Architecture Discussions
Before writing code, I prompt the AI to discuss architecture. Database choice, monorepo vs microservices, caching strategy. The AI explains trade-offs, I make decisions based on my understanding.
3. Iterative Building
Each feature is one prompt cycle:
- Explain what I want
- AI writes the code
- I review the logic (not syntax)
- Commit and push
- CI/CD runs tests
- If red, I paste the error back to AI
4. Testing Is Non-Negotiable
I can’t manually verify every edge case, so tests are my safety net. Every feature includes tests written by AI and reviewed by me for logical correctness. 221 passing tests across the flagship app is what makes production deployment possible.
Key Lessons
- Constrained problems produce better code than open-ended ones
- Monorepo keeps AI context coherent
- CI/CD creates a tight feedback loop
- Read the tests to understand what the code does
- AI pairs you with a senior engineer on demand — but you still own the decisions, the architecture, and the quality bar