Use cases
Flaky CI is usually an environment you don't control
Run your GitHub Actions jobs on your own boxes: the same machine, the same warm caches, the same resources every time, and a log you can go and read.
A test that fails once in ten is an environment problem until proven otherwise
Shared hosted runners give you a fresh, differently-loaded machine on every run, which is exactly the condition under which timing-sensitive tests misbehave. developerz.ai turns your VMs into just-in-time GitHub Actions runners: one runs-on: label change, and jobs execute on hardware you sized, with the resource limits you set. Every job still runs in a fresh container that is destroyed on completion, so isolation does not depend on the box being clean.
Predictable hardware
Pick the runner size per job (2 to 32 vCPU labels) and stop debugging failures that are really contention on someone else's fleet.
Fresh container, every job
Jobs run in a container destroyed on completion. Nothing persists between runs, so a poisoned cache cannot follow you.
The agent watches the PR
A red check is not a dead end: the AI engineering team tracks the PR and escalates when it stops making progress.
Where it stops and asks you
A check it cannot settle comes back to you
On a pull request the platform opened, or a dependency bot's, a GitHub Actions job that failed is re-run once before anything else, so a flaky test costs a re-run and no code change. That takes ci.self_fix on (the default) and the App's actions: write permission; an installation that has not granted it gets no re-run and goes straight to a fix round. If the job fails again, a fix round runs on the branch. When the red checks stop falling across rounds, the platform stops spending rounds and escalates the pull request to you.
Read how a red check is handledGo deeper
One label to move a workflow
The CI page shows the exact diff, the runner sizes, and the security model. Token TTL, container lifetime and the fork-PR rule.
Self-hosted CI
Ship more. Maintain less.
We expect software to be written faster than any team can review it. Bring your repos, your boxes and your keys. We bring the org that keeps up.