What you can accomplish
Review pull requests
Find bugs, edge cases, security risks, and codebase-specific issues before merge.
Automate pre-merge checks
Run custom guardrails, test generation, docstring generation, linters, and scanners.
Apply team standards
Define rules in natural language and use them consistently across repositories.
Measure review workflows
Track cycle time, review activity, repository trends, and team velocity.
Add engineering context
Connect source control, issue trackers, notifications, and editor workflows.
Track AI authorship
Connect explicit line-level attribution from the open source Autter CLI.
Review flow
A pull request opens
Autter receives the proposed diff through the connected source control provider.
Autter builds context
The review considers repository architecture, established patterns, team rules, documentation, and linked work items when available.
Feedback appears
Authors and reviewers receive a summary, inline findings, and suggested fixes in the pull request workflow.
Sources of context
| Context | What it contributes |
|---|---|
| Codebase intelligence | Architecture, dependencies, conventions, and related code |
| Team rules | Explicit standards written in natural language |
| Review history | Patterns and institutional knowledge from prior team reviews |
| Linked work | Issue context from tools such as Jira and Linear |
| Documentation | README files, architecture records, and other connected docs |
| Linters and scanners | Deterministic findings that Autter can filter and explain |
Platform and CLI
The Autter platform and Autter CLI solve different parts of the workflow. The platform reviews a proposed change. The CLI records who or what authored each line. When you connect the CLI, your organization can relate review activity to coding agent, model, prompt, and AI authorship context. Review Data and privacy before enabling connected mode.Get started
Connect one repository and verify your first pull request review.