AutoPR Reviewer is an AI-powered GitHub pull request review tool that flags bugs, style violations, and security issues on every PR. It is aimed at teams that want review feedback while they ship, and it is installed on GitHub. The service says there is no setup or configuration beyond installation.
Its review flow combines AI-powered analysis with automated static checks. The feature set includes bug detection for potential bugs, logic errors, and edge cases; Ruff and ESLint checks on Python and JS/TS files in the diff; performance tips for inefficient patterns such as nested loops, large functions, and redundant operations; and security scanning for hardcoded secrets, SQL injection patterns, dangerous function calls, and missing error handling. When a pull request is opened or updated, a fresh analysis starts through GitHub webhooks, the static analysis and AI review run in parallel, and a full review comment is posted directly on the pull request, usually within seconds.
AutoPR Reviewer works on both public and private repositories. Its AI review applies to any language, while static analysis is limited to Python and JS/TS files. The tool processes only the pull request diff, and the full codebase is never cloned or stored. Pricing starts with a free Basic plan that requires no credit card and includes AI-powered code review, static analysis, bug and style detection, and risk scoring per pull request. A Pro plan costs $5 per month, can be canceled anytime, and adds PR complexity scoring, security pattern detection, bloated function detection, deep nested loop detection, and missing error handling checks.
In the Code review & quality space, AutoPR Reviewer takes a focused approach. Manual code reviews are time-consuming and error-prone for development teams. AutoPR Reviewer is a B2B product aimed at software development teams. A free plan is available; paid tiers begin at $12. AutoPR Reviewer is available on the web.
It is developed by AutoPR Reviewer Inc., and it first shipped in 2026. The project is developed in the open on GitHub with 24 commits in the last 90 days. Key capabilities include AI code review, bug detection, and static analysis.
Summary written by a language model from the project’s public pages.
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