By kenn-io
Automate code review and fix workflows for Git branches using roborev — request design or security reviews, automatically fix failing findings, and run iterative review-fix loops until passing.
Request a design review for all commits on the current branch and present the results
Request a design review for a commit and present the results
Use when the user asks to fix open failing reviews, invokes /roborev-fix, or provides job IDs; do not use when the user only pastes review findings with no request to discover or close reviews
Iterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached
Add a comment to a roborev code review and close it
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Documentation | Quick Start | Installation
Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound. Pull code reviews into your agentic loop while context is fresh.
roborev init to install a post-commit hookroborev fix handle itcd your-repo
roborev init # Install post-commit hook
git commit -m "..." # Reviews happen automatically
roborev tui # View reviews in interactive UI
If roborev is managed by a version manager, roborev init and
roborev agent-hook install try to install hooks with the stable shim/symlink.
You can also choose the exact binary path with
roborev init --binary ~/.local/share/mise/shims/roborev or
roborev agent-hook install --binary ~/.local/share/mise/shims/roborev.
roborev fix feeds review findings to an agent that
applies fixes and commits. roborev refine iterates until reviews pass.$roborev-fix when roborev has open failed reviews.roborev compact verifies findings against
current code, filters false positives, and consolidates related issues
into a single review.When reviews find issues, copy-and-paste the reviews into your
interactive agent sessions, or invoke the roborev:fix skills. You
can also address open reviews on the command line non-interactively
with roborev fix.
roborev fix shows the review findings to an agent, which applies
changes and commits. The new commit gets reviewed automatically,
closing the loop.
For Codex and Claude Code sessions, roborev agent-hook install can add an
optional harness hook that prompts the active session to invoke $roborev-fix
after configured turn, commit, or failed-review thresholds are met. The hook
uses a separate local roborev-agent-hook daemon for session counters; it does
not run inside the main roborev daemon.
For fully automated iteration (advanced feature), use refine:
roborev refine # Fix, re-review, repeat until passing
refine runs in an isolated worktree and loops: fix findings, wait for
re-review, fix again, until all reviews pass or --max-iterations is hit.
Run targeted analysis across your codebase and optionally auto-fix:
roborev analyze duplication ./... # Find duplication
roborev analyze refactor --fix *.go # Suggest and apply refactors
roborev analyze complexity --wait main.go # Analyze and show results
roborev analyze test-fixtures *_test.go # Find test helper opportunities
roborev analyze security ./... # Find security risks in existing code
Available types: test-fixtures, duplication, refactor, complexity,
api-design, dead-code, architecture, security.
Analysis jobs appear in the review queue. Use roborev fix <id> to
apply findings later, or pass --fix to apply immediately.
npx claudepluginhub kenn-io/roborev --plugin roborev使用多個專門代理進行自動化程式碼審查,配備基於置信度的評分系統以過濾誤報
Multi-lens code review pipeline: deep review (Claude or Codex), automated fix loop, interactive walkthrough, manual promote, external-finding injection.
Comprehensive code review with parallel specialized agents covering security, architecture, performance, and more
Code review plugin with a standalone reviewer agent and two skill strategies: disposable subagents for one-shot reviews and persistent team members for iterative reviews
Harness engineering for Claude Code — hook-enforced dual review, state-machine gates, and fail-closed safety where it counts.
AI-powered code review analysis — Run three-level AI analysis and implement-review-fix loops directly in your coding agent. Works standalone, no server required.