AI writes the code. We review every line.
80% of our code is AI-generated. Here's why that makes it better, not worse — and what the other 20% looks like.
When we say "80% of code is written by AI," people hear two things:
Skeptics hear: "So you're just pasting ChatGPT output and charging for it." Believers hear: "So you ship 5x faster and it's all magic."
Both are wrong.
What AI actually does well: - Boilerplate: API routes, form validation, CRUD operations, type definitions - Pattern repetition: if you've done one data table, AI does the next nine - Test generation: describe what the function should do, AI writes the test - Refactoring: "convert this to use server actions" takes seconds
What AI does poorly: - Architecture decisions (which database? how to structure the API?) - Edge cases (what happens when the payment webhook fires twice?) - Integration debugging (why is the GHL API returning 422?) - Performance (why is this page taking 4 seconds to load?)
The 20% we write by hand is the 20% that determines whether the product works in production or crashes on day two.
Our actual workflow: 1. Architect the system (human, no AI) 2. Generate scaffolding and boilerplate (AI, reviewed) 3. Implement business logic (AI draft → human edit) 4. Handle edge cases and integrations (human, with AI assistance) 5. Test and deploy (AI-generated tests, human QA)
The result: we ship in weeks what used to take months. Not because we cut corners — because AI eliminated the boring parts and let us focus on the parts that matter.