ReviewSensei
The facts below are what the maker publishes about ReviewSensei, checked and dated. Our editors have not written about it yet.
The facts
Each one read from ReviewSensei's own pages, with the date it was checked.
What it does
- Alpha status
- The project identifies itself as alpha software and says capabilities, defaults, and distribution channels evolve.checked 11 Oct 2026
- Controls
- Separate switches govern analysis, comment publication, automatic approval or request changes, learning, conversations, and artifact retention.checked 11 Oct 2026
- Coverage
- Opt-in large-change orchestration reports per-path outcomes such as reviewed, partially reviewed, excluded, unsupported, or budget exhausted.checked 11 Oct 2026
- Data handling
- The core does not persist raw prompts or provider responses; published comments, artifacts, approved learnings, and provider-side copies have separate retention locations.checked 11 Oct 2026
- Data persistence
- The core engine does not persist raw prompts or raw provider responses; review results, GitHub comments, artifacts, and approved learnings have separate retention locations.checked 11 Oct 2026
- Diagnostics
- The doctor and plan commands preview configuration, stages, budgets, and skip reasons without provider calls or writes.checked 11 Oct 2026
- Evidence limitation
- Schema and diff-location validation do not prove that a finding is correct or that review coverage is complete, and legacy evidence policy is the default.checked 11 Oct 2026
- Execution
- Review logic runs in the user's GitHub Actions environment, self-hosted runner, or local CLI environment.checked 11 Oct 2026
- Finding lifecycle
- Incremental reviews use stable fingerprints to label findings new, still present, fixed, outdated, or uncertain.checked 11 Oct 2026
- Finding tracking
- Incremental reviews use stable fingerprints to track findings through states including new, still present, fixed, outdated, and uncertain.checked 11 Oct 2026
- Installation
- The site describes three installation routes: App-assisted GitHub reviews, manual GitHub Actions setup, and local CLI.checked 11 Oct 2026
- Integrations
- The site offers a GitHub App, GitHub Action, and CLI, and its provider matrix lists Ollama, Ollama Cloud, OpenAI-compatible, and OpenRouter support with different workflow availability.checked 11 Oct 2026
- Learning
- Proposed repository learnings can become draft pull requests and require maintainer approval before future selection for matching paths.checked 11 Oct 2026
- Model providers
- The getting-started page lists local Ollama, Ollama Cloud, OpenRouter, and an OpenAI-compatible CLI option.checked 11 Oct 2026
- Provider data limits
- ReviewSensei says it does not guarantee provider-side retention, training, residency, or deletion practices.checked 11 Oct 2026
- Publication controls
- Comment publication defaults to off, and separate settings control review policy, learning, conversations, and artifact retention.checked 11 Oct 2026
- Purpose
- ReviewSensei is open-source alpha software for AI code review of pull requests using repository-owned knowledge and configurable review stages.checked 11 Oct 2026
- Release status
- The site labels ReviewSensei open source and alpha.checked 11 Oct 2026
- Repository learning
- Proposed learnings can become draft learning pull requests and are selected for matching paths after maintainer approval.checked 11 Oct 2026
- Review coverage
- Opt-in large-change orchestration reports per-path outcomes including partially reviewed, excluded by policy, unsupported, and budget exhausted.checked 11 Oct 2026
- Review stages
- Its specialist reviewers cover correctness, architecture, security, and performance before synthesizing results.checked 11 Oct 2026
- Security limitation
- ReviewSensei says it does not guarantee provider retention, training, residency, or deletion practices.checked 11 Oct 2026
- What it does
- ReviewSensei is an open-source engine for AI reviews of GitHub pull requests using repository-owned knowledge, configurable review stages, and explicit coverage.checked 11 Oct 2026
Money
- Provider costs
- Users provision and pay for model inference, GitHub Actions minutes, and self-hosted runner capacity.checked 11 Oct 2026
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