What AI doesn't keep up by itself
AI does what one instruction asks. Whether the change fits the architecture, whether tests come with it, whether no key ends up in the code and whether the documentation still holds: nobody asks, unless someone checks. The faster the pace, the faster it falls behind.
Why manual checks can't keep up
A review per pull request looks at that one change. An audit once a year is a snapshot. The pace of building with AI needs a check that runs with every new version, automatically, and says what is proven. That's where development is heading.
What we check
Five parts, each with its evidence:
- Code quality: complexity, hotspots and parts without updates
- Security: secrets, vulnerable dependencies and risky code
- Tests: unit and end-to-end tests, proven with reports from your own CI
- Documentation: what's there, what's thin and what's missing
- Architecture: the map of your repository and where the knowledge sits
We work this way ourselves
We use AI in our own work, with the same kind of checks on ourselves: fixed scans, tests and a definition of done the pipeline enforces. What we offer, we use ourselves every day.