How we used AI to make CI stricter, more observable, and easier to improve across repositories.
Having worked across both implementation and delivery, I’ve learned that complex requirements are not necessarily the biggest problem in the current AI era.
AI can help us break down requirements, explore unfamiliar repositories, and generate implementation ideas. That makes the implementation step much easier.
But implementation is only one part of delivery. The feature still has to move through a real engineering system.
It has to fit the repositories, CI rules, review process, and deployment path that deliver it.
