HOW AI MAKES THIS ROLE FASTER
One engineer covers the whole stack with AI. A second senior signs off.
Full-stack work has a lot of glue: types that mirror the schema, endpoints that mirror the types, forms that mirror the endpoints. AI writes most of that glue. Your engineer spends their time on the decisions, and a second senior engineer reviews every line before merge.
| Step | What AI does | What the engineers check | The gate it passes |
|---|
| Schema to API | Drafts the migration, the endpoint and its validation from the spec | The data model holds up for next quarter's features as well | Senior review on every merge |
| API to screen | Drafts typed client calls and the form or table | Loading, error and permission states all handled | Senior review on every merge |
| Tests | Drafts unit tests and an end-to-end test for the new flow | The tests cover the money path and the permission edges | Senior review on every merge |
| Deploy | Drafts the CI step or migration script | Rollback works and data is safe | Senior review on every merge |
| Review | Flags missing auth checks and unvalidated input | A second senior engineer reads every line before merge | Senior review on every merge |
Across 470 open-source pull requests, CodeRabbit found AI-co-authored code carried ~1.7× more major issues and ~2.7× more security defects. One person writing the whole stack is exactly where a second reviewer earns their keep. Client code is never used to train models.
The same way of working shipped Vimsy in 5 weeks and Navia's four AI modules in 4 months. Vimsy · Navia