How it works
From ticket to merged PR — every step gated.
The same five-phase pipeline runs whether you hand Toorunt AI a one-line product idea or a ticket off your existing backlog. A human decides three things; everything else runs inside the gates.
Ingest & scope
It watches your board, picks up the ticket, and resolves the right GitHub repo — from a curated registry or a semantic match. Ambiguous requirements get a clarifying question, never a guess.
Plan & approval gatehuman decision
It posts an implementation plan to Jira — files, approach, risks, acceptance criteria — and stops. It never writes code before a human sees the plan.
Implement & prove
It implements the change and writes tests until green. For a bug, it writes a reproduction test that is RED before the fix and GREEN after — proof the fix actually fixes the bug.
Review orchestration
A second agent reviews a seven-point checklist; a peer bot with a distinct identity reviews the PR. Human comments are handled one by one — fixed, politely rebutted, or asked about.
Merge & watchhuman decision
It merges only on verified-green tests, CI, no conflicts, and review approval — then watches CI and production, raising a revert alert if the change regresses.
Continuous learning
Every reviewer correction becomes a lesson and a graduated guardrail. The next ticket starts smarter — and the improvement is on the dashboard.
It answers review like an engineer, not a bot.
Every comment gets one of four honest responses — fix it, disagree with a reason, ask when the intent is unclear, or refuse when it’s unsafe. The last one is the point.
This N+1 query will hammer the DB under load — batch it.
Good catch. Batched into a single `IN (...)` fetch and added a covering test that fails on the old code path.
You choose how much rope. It’s a config, not a rebuild.
Start with a human on every plan and PR. Earn your way to full autonomy as the track record builds — the envelope widens on post-merge evidence and snaps back on a single regression.
Every plan and PR waits for you.
The agent posts a plan to Jira and stops until a human replies /approve. Maximum control — the day-one posture for a new team.
A team that routes itself.
Bots claim tickets atomically, hold file-claim locks so two never touch the same surface, park when blocked, and hand off on failover. Who to contact is deterministic — CODEOWNERS, git blame, Jira roles, on-call — with a bounded escalation ladder that always terminates.
Get started
Point it at your backlog. See it ship.
A live demo on a repo you choose.