AI Code Review

git-lrc

Free, micro AI code reviews that run on git commit to prevent outages, breaches, and technical debt.

What is git-lrc?

git-lrc is a command-line tool that automatically runs AI-powered code reviews on every git commit, identifying potential outages, security breaches, and technical debt before they land.

git-lrc vs Similar AI Tools

Pricing ModelFree, FreemiumFreeFreeFree
Free Credits
Key Features
  • Automatic AI code review on every git commit
  • Issue Navigator to browse comments by severity and category
  • Summary Deck for a quick 60-second overview of changes and risks
  • Specification Wizard with brainstorming and file tagging
  • Kanban board with drag-and-drop task management
  • Agent loop with three build modes (Pause for Review, Auto-Pilot, Continuous)
  • Two-agent adversarial code review (work agent and review agent)
  • Reconciliation loop until all findings are resolved or escalated to human
  • Supports multiple CLI hosts: Claude Code, Codex, GitHub Copilot CLI, OpenClaw, skills.sh
  • Code review agent that analyzes git diffs and posts findings (read-only)
  • Documentation sync agent that updates Markdown docs to match code via PRs (docs-only, never auto-merges)
  • Autonomous QA testing agent that understands product from code and executes end-to-end flows with backend assertions
Pros
  • Free tier with generous monthly allowance
  • Easy setup and integrates seamlessly with git commit workflow
  • Combines planning, development, and review in one interface
  • Supports multiple AI engines (Claude Code, OpenAI Codex, Anthropic API)
  • Reduces code review blind spots through adversarial process
  • Explicit invocation keeps normal workflow unaffected
  • Requires no manual test writing — QA agent derives flows from code
  • Deep autonomous testing with frontend and backend assertions
Cons
  • Free tier limited to 30k LOC per month
  • Only works with git (not other VCS)
  • Requires separate API keys and incurs API usage costs
  • Only supports Claude Code, OpenAI Codex, and direct Anthropic API (not all models)
  • Requires setup and installation per CLI environment
  • Two-agent loop may increase response time for complex tasks
  • Requires setup of multiple dependencies (Node.js, Playwright, CLI tools)
  • Agent-based testing can be non-deterministic and slower than scripted tests
Best For
  • Developers using AI to generate code who want to catch errors before committing
  • Teams that want to enforce code review without slowing down the development process
  • Developers who want to automate coding with AI while maintaining human review
  • Teams integrating AI code generation into a structured workflow
  • Developers using AI coding assistants
  • Teams wanting automated thorough code review
  • Developers and teams wanting automated, continuous code review and testing
  • QA engineers looking to reduce manual test script maintenance

How to use git-lrc?

  1. 1Install via: curl -L https://hexmos.com/ipm-install | bash && ipm i HexmosTech/git-lrc
  2. 2Run 'git lrc setup' to configure API keys (Gemini and LiveReview).
  3. 3Add changes with 'git add', then commit normally; the review launches automatically.
  4. 4Optionally, run 'git lrc review' manually before committing for more control.
  5. 5Review results appear in a web UI with inline comments, issue navigator, and summary deck.
  6. 6Use 'git lrc review --vouch' to skip AI review and take personal responsibility after iterations.

git-lrc Key Features

  • Automatic AI code review on every git commit
  • Issue Navigator to browse comments by severity and category
  • Summary Deck for a quick 60-second overview of changes and risks
  • Git log tracking recording review status (ran, vouched, skipped)
  • Bring your own AI connectors (Gemini, OpenAI, Claude, DeepSeek, OpenRouter)
  • Repository rules for custom review instructions
  • Free tier with 30k LOC per month

git-lrc Use Cases

  • Preventing AI-generated code from introducing silent bugs and security issues
  • Catching credential leaks, expensive cloud operations, and logic errors before committing
  • Building a habit of regular code review without slowing down the commit workflow
  • Onboarding new engineers with automated context-aware feedback
  • Maintaining code quality across teams without relying on a single IDE or tool

git-lrc Pricing & Free Credits

git-lrc currently operates on a Free, Freemium model.

Free Tier

Free Individual

$0

30k LOC per month, bring your own AI keys, includes git-lrc and VS Code extension

Paid Plans

Premium

$32 per 100k LOC

Scales by workload, not by seat; no headcount-based pricing

Enterprise

Contact for pricing

Self-hosting, SSO, custom domains, and tighter data control

Free Individual

$0

30k LOC per month, bring your own AI keys, includes git-lrc and VS Code extension

Premium

$32 per 100k LOC

Scales by workload, not by seat; no headcount-based pricing

Enterprise

Contact for pricing

Self-hosting, SSO, custom domains, and tighter data control

git-lrc Pros & Cons

Pros

  • Free tier with generous monthly allowance
  • Easy setup and integrates seamlessly with git commit workflow
  • Wide coverage of risk categories (outages, breaches, technical debt)
  • Supports multiple AI providers via BYOK
  • Issue Navigator and Summary Deck enhance review usability
  • Git log tracking for team visibility

Cons

  • Free tier limited to 30k LOC per month
  • Only works with git (not other VCS)
  • Requires internet connection for AI review
  • AI reviews may have false positives or negatives, though feedback loop improves over time

What is git-lrc best for?

  • Developers using AI to generate code who want to catch errors before committing
  • Teams that want to enforce code review without slowing down the development process
  • Open-source projects seeking free automated code review
  • Engineers looking to reduce technical debt and security vulnerabilities

git-lrc FAQ

Top free alternatives to git-lrc

Perfai Security logo

Autonomous security testing platform that finds and fixes access control vulnerabilities in live AI-built apps.

Free
Command Center logo

Command Center is an agentic coding environment that helps teams ship AI-generated code to production 2x faster.

Free
CodeRabbit logo

CodeRabbit is an AI code review tool that analyzes pull requests, finds bugs, and suggests fixes across GitHub, GitLab, IDEs, and CLI.

Free
Bitbucket logo

Bitbucket is a Git code hosting and CI/CD platform for teams, with Jira integration, AI-assisted workflows, and governance controls.

Free

Best alternatives AI Tools to git-lrc

Relay Studio logo

A desktop app that transforms AI coding agents into a visual Kanban build loop for feature development with human review.

Hubo logo

Hubo is an AI code review tool that uses two sparring agents to reconcile every finding before presenting results to the developer.

Sentinel logo

Open-source tool running specialized AI agents to review code, sync docs, perform deep QA testing, and distill repository knowledge on a schedule.

Sentinel logo

An open-source QA agent that reads codebases, derives business flows, and runs end-to-end tests across frontend and backend.

SonOf logo

SonOf is an agentic engineering service that ships production code into your existing product—connect your repo, get a free audit, approve tickets, and pay only when code ships.

IntentGuard logo

Open-source PR alignment reviewer that checks whether every GitHub PR matches the linked Linear issue and sprint intent before merge.

sqlsure logo

Open-source semantic SQL inspector that catches double-counting, wrong join keys, and additivity violations before queries run, with zero network calls.

Perfai Security logo

Autonomous security testing platform that finds and fixes access control vulnerabilities in live AI-built apps.

Free