Autter: Code review and release confidence
An AI teammate that reviews every pull request, executes changes in an isolated sandbox, checks product impact and security, and gates releases on evidence — then traces production failures back to the responsible change.
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Why Autter exists
I started building Autter after one too many Friday deploys failed. Teams already review code, write tests, and run scanners — but those checks still miss product impact, incomplete coverage, and the quiet regressions that only show up after merge.
Autter sits beside the pull request as an AI teammate. It reads the change, runs the work in an isolated sandbox, checks security and product impact, and only clears a release when the evidence is there.
A workspace that learns the codebase
Once a repository is connected, Autter indexes structure, stack, dependencies, and call paths. From that point, open a pull request and review starts automatically — with product memory instead of a cold diff.
What Autter does on every PR
Autter reviews the diff with product memory of how the system behaves, then executes the change in a sandbox instead of trusting static signals alone.
Missing tests get written and run. Security and product-impact checks surface what a normal review might skip. Releases stay gated until the evidence supports shipping.
Context-aware review against the change and product memory.
Changes run in isolation before they touch shared environments.
Security, tests, and impact checks decide when a release can move.
Production failures are traced to the responsible change and repaired.
Run it in the sandbox
Every pull request executes in an isolated sandbox. The suite runs against the base branch, so the verdict comes from real behavior — not lint alone.
The assurance layer on every merge
Test execution, regression checks, security review, dependency vetting, and release sign-off stay on the pull request — before merge, not after deploy.
From website and docs
These frames come straight from the Autter product site and documentation — onboarding, architecture, the live workspace, and the harbour gate that stands for evidence-based merge decisions.
From failed deploy to verified fix
When something breaks in production, Autter connects the failure back to the change that caused it and opens a verified fix pull request. The goal is simple: ship more code without shipping more risk. Try it at autter.dev.