Use cases
CI that costs the same in a busy week
Per-minute runner billing turns a growing test suite into a growing invoice. Running the jobs on hardware you already pay for turns it back into a fixed line.
The bill scales with your test suite, which is the wrong thing to be scared of
Metered CI quietly discourages the behaviour you want: more tests, more matrix entries, more runs per PR. developerz.ai includes three concurrent CI slots with each AI dev, running on VMs you own. So the marginal cost of one more job is your existing server, not another line item. Switching is a runs-on: label change per workflow, and you can move one workflow at a time.
No minutes, no cache GB, no IP fee
Three concurrent CI slots per AI dev are included. There is no per-minute meter, no cache-egress charge and no static-IP surcharge to budget for.
Move one workflow at a time
A single label change per workflow file. Nothing is all-or-nothing, and you can compare timings before committing.
The machines stay yours
The runner is a service on a VPS you own and can log into. When you leave, you keep the hardware.
Where it stops and asks you
Your boxes run only the jobs you let onto them
CI on a public repository stays off until you set ci.public_repos: true, because anyone can open a pull request there. Jobs from fork pull requests never run on your boxes, with or without that key. A job beyond your concurrent CI slots waits in the queue for a free slot, and a job that fails or times out raises a notification.
Read the fork and public repo rulesGo deeper
Compare the real numbers
The CI page carries the per-minute and per-GB figures we compared against, with the date they were verified.
See the CI cost comparison
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.