Collaborator turns code review into the training loop. The comments you already write become durable lessons your agents inherit — so you stop re-explaining the same conventions every session.
You correct the same mistake you corrected last week. The model has no memory that you ever did.
Your conventions — error handling, naming, which library you standardized on — get re-typed into the prompt for the hundredth time.
Architectural decisions the team argued through months ago get quietly reopened, because nothing carried them forward.
The review comment you wrote last Tuesday is gone. Your team keeps paying interest on knowledge it already earned.
Humans and AI agents are symmetric workers on the same repo. You review the diff exactly like you always have — and that review compounds.
Engineers review pull requests the way they always have — inline comments on the exact lines. No new ritual, no separate knowledge base to maintain.
When work closes, related comments are distilled into durable, org-scoped lessons — each one traceable back to the comments that produced it, and ranked by your team's own up and down votes.
Each new agent task opens with your team's top lessons injected into the prompt. The codebase teaches the AI what this team actually cares about — before it writes a line.
Corrections get made once, not weekly. Good lessons rise, stale ones get voted down, and the quality floor moves up on its own. It compounds.
Every action writes to an immutable ledger. That's what lets Collaborator trust its own history — and lets you stop watching the boring parts.
Distilled from real review comments, ranked by votes, scoped to your org. Every closed task can leave the next one a little smarter.
People and AI agents are the same kind of worker: they open branches, push diffs, and get reviewed identically. No separate lane for "the AI code."
An inline review comment can hand the fix straight to an agent. The thread stays where the context is — on the exact lines you were reading.
Every diff block is content-hashed. If an approved block changes later, it automatically resurfaces for re-approval — nothing slips through silently.
Coverage and tests run at merge time, not as advisory noise. A failing gate can hard-block a bad merge outright — the rule is the wall.
Untrusted code — including anything an agent generates — runs in sealed, single-use containers. Nothing it does reaches back into your infrastructure.
Test and coverage instrumentation spans thirteen language ecosystems, so the gates mean the same thing in your polyglot monorepo as in a single service.
Every action — comment, approval, merge, agent run — is an append-only event. You can replay exactly who or what changed a line, and why.
Isolation is enforced in the database with per-org Postgres row-level security — not just in application code you have to trust to get it right every time.
More shipped, less re-explaining. Not because anyone typed faster — because the review you were already doing stopped evaporating.
Engineers spend their attention on the decisions that matter. The boring code writes itself.
Bring Collaborator to your repo and let review start compounding. Early access is rolling out to engineering teams now.