Use cases
Automated issue triage that doesn't guess
New issues get read, labelled, deduplicated and routed the moment they land — and when the agent needs more from the reporter, it asks, in the open, disclosing that it is a bot.
Return a typed error, add regression coverage, and update the authentication guide.
The backlog stops being a queue nobody opens
Triage is the work that decays fastest when nobody has time: an issue sits for a week, the reporter goes quiet, and the context is gone. developerz.ai reads each issue against the policy in your .maintainer.yml, applies your labels, links likely duplicates, asks the reporter for the missing repro, and either hands it to your coding agent or escalates it to you. Nothing is decided silently — every step is an audit entry you can read.
Labelled on arrival
Your own label taxonomy, applied consistently, at the moment the issue is filed rather than at the next triage meeting.
Reporters get answered
Missing versions, missing repro, missing logs — the agent asks for them and says plainly that it is an automated agent.
You only see what needs you
Security, licence and hostile-tone signals stop the loop and escalate to a human instead of being answered by a bot.
Go deeper
See the whole loop
Triage is the first step of a longer loop: qualify, hand off to your coding agent, watch the PR to green, ship.
How it worksPut 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.
developerz-bot I've mapped this to session.ts and two integration tests. Estimated cost: $1.42.