Meet the Docs Patrol
Code changes. Docs don't. These agents make sure they stay in sync.
Code changes. Docs don't. These agents make sure they stay in sync.
Five silent sentinels run every weekday morning. You never hear from them -- unless something breaks.
What if your repo generated its own feature backlog every morning? Not vague "we should consider" suggestions from a brainstorming doc nobody reads, but concrete, codebase-grounded feature proposals filed as issues -- five every day, each from a different domain expert. That's what the Idea Machines do.
Most agents find things. The Bug Hunter is coached to find nothing -- and considers that a success. Its job is to hunt for reproducible, user-impacting bugs every single weekday. Most days it comes back empty-handed, and that's the best possible outcome. A healthy codebase doesn't need a bug report. The Quality Crew is built around that philosophy: find real problems, fix them concretely, and stay silent when there's nothing worth saying.
A new issue lands. Within seconds, it's labeled, prioritized, and checked against every existing issue for duplicates. No human triaged it. No one assigned a label from a dropdown. The Issue Squad handled it — seven agents that collectively own the entire lifecycle of a GitHub issue, from the moment it's filed to the moment it's closed.
CI is red. The logs are 4,000 lines of webpack noise. Somewhere in there is the one line that matters. That's the job of the Detectives -- three agents whose entire purpose is to read failure logs so you don't have to.
You open a PR. Before you can ping a teammate, the review is already in progress. By the time you switch back to the tab, there are inline comments on three files — severity-ranked, with explanations. A minute later, a commit lands on your branch fixing two of them. You didn't ask anyone. The Reviewers showed up on their own.
40+ AI agents. Zero new tabs to monitor. Your repo runs itself.
We built a fleet of specialized AI agents that review PRs, hunt bugs, triage issues, investigate CI failures, generate feature ideas, and audit your docs — all running as GitHub Actions on the Elastic AI Software Factory framework. This is our agent factory.