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Store code review results, manage tasks, and generate reviews with LLMs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mrt-fe-review-washer" yet — see the docs or source repo.
Please organize this PR's review findings and store them in mrt-fe-review-washer, including severity, file path, fix suggestion, and owner.
A structured review record is created in the tool for later tracking and lookup.
Based on the saved code review results, automatically create follow-up tasks, prioritize them, and assign an owner and due date to each.
An actionable remediation task list is generated and linked to the related review findings.
Read this code change, use Claude to generate Korean code review comments, and write the results into mrt-fe-review-washer.
Korean review comments are generated and stored, ready for collaboration in Korean-speaking engineering teams.
Runs dual-model code reviews and synthesizes one unified report.
Automate code reviews with syntax checks, explanations, and improvement suggestions.
Generate detailed HTML code review reports from branch or commit comparisons.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Automate pull request reviews with multi-LLM feedback across GitHub and Bitbucket.
Analyze local code quality, review diffs, and score whole projects.