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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.

developerz.ymlLIVE
version: 1
budget:
 max_cost_usd: 5
policy:
 require_checks: true
 deny_paths:
 - infra/prod/**
Audited end to endGitHub-native workflowExisting checks stay in controlCost visible per task

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 self-hosted CI runners 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 runners 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.

Go deeper

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

Put a fleet of AI developers to work

Bring your own keys and your own boxes, drop a .maintainer.yml, and let the loops run — audited end to end. Access is invite-only.