Mistral AI
DeepSeek
MiniMax
Moonshot
Linear
Jira
Asana
One pipeline. Four roles. Issues in, pull requests out, without you in the loop.
Scroll through one real run. The screens below are the same panels you see in the live dashboard.
It reads the issue and maps the codebase.
Every file that matters, every call site touched, every test in scope, the agent figures out what the change really involves before committing to it. Work the model can't finish gets handed back early, so you never review half-baked output.
It writes a plan before it writes a line of code.
The planner emits an ordered list of changes, what file, what function, what for. You can audit the plan before any code touches your repo, so a bad direction never burns a whole iteration.
- 1pendingAdd streaming CSV serializerapps/api/src/modules/reports/csv-export.tsRFC 4180 quoting, BOM for Excel, 1MB row buffer
- 2pendingWire GET /reports/:id/export.csvapps/api/src/modules/reports/reports.controller.tsContent-Disposition attachment, Cache-Control no-store
- 3pendingInject service dep for the new endpointapps/api/src/modules/reports/reports.service.tsReuse existing query builder for row source
- 4pendingAdd integration test for happy + empty resultapps/api/__tests__/reports.spec.tsAsserts headers, content shape, and 200-empty for no rows
It writes the diff, then reviews its own work.
The worker edits the files. The reviewer reads the diff and runs the tests. If something doesn't hold, the loop iterates, up to three times, before any human sees the diff. You only review work that already passed its own bar.
It opens the pull request. You just review.
A normal pull request lands in your team's queue. Passing CI, tests attached, plan recorded, diff readable in under five minutes. You spend your time deciding what's right, not typing the obvious.
