Inspired by Reddit r/coolgithubprojects

Git Pre-Commit AI Review

Review your code changes before committing. Catch security vulnerabilities, performance issues, and bugs before they reach the remote repository.

Configuration Preview

AI Model:

Block on critical/high issues

# .git-ai-review.yaml
model: claude-3-sonnet

# Review rules
rules:
  security:
    enabled: true
    severity: block  # block | warn | ignore
  performance:
    enabled: true
    severity: warn
  style:
    enabled: false
    
# File filtering
include:
  - "src/**/*.{ts,tsx,js,jsx}"
  - "lib/**/*.py"
exclude:
  - "**/*.test.ts"
  - "**/dist/**"

Paste Git Diff (staged changes)

Security Scanning

Detect hardcoded secrets, SQL injection, XSS, and other vulnerabilities

Performance Checks

Identify inefficient patterns, memory leaks, and optimization opportunities

Multi-Model Support

Use OpenAI, Claude, or local Ollama models for privacy-sensitive code

Quick Install

# Install with npm

npm install -D git-ai-review

# Initialize pre-commit hook

npx git-ai-review init

Inspired by Reddit r/coolgithubprojects

Related tools: Husky • pre-commit

Why Git Pre-Commit AI Review Is Worth Using

Review staged changes before commit to catch security issues, destructive patterns, debug leftovers, and other quality risks earlier in the workflow. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, Git Pre-Commit AI Review is designed to shorten that path.

Most visitors use Git Pre-Commit AI Review because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.

How to Use Git Pre-Commit AI Review

Use it before committing code when you want a faster risk screen than waiting for CI or teammate review.

1Paste the staged diff or code changes you are about to commit
2Run the review and inspect severity, score, and blocking issues
3Fix critical findings before continuing
4Commit cleaner code with fewer preventable mistakes

Who Is Git Pre-Commit AI Review For?

Helpful for developers who want a lightweight pre-commit review step without a full external review cycle.

Solo Developers

Catch risky changes before they land in history

Teams with Strict Quality Gates

Reduce noisy CI failures and early review churn

Security-Conscious Engineers

Screen staged diffs for obvious high-risk patterns before commit

What a Good Result Looks Like

A strong outcome from Git Pre-Commit AI Review is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.

If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.

Frequently Asked Questions

How is this different from a normal code review tool?▼

It is meant for the pre-commit moment, so you can catch issues before the diff is even committed or pushed.

What kinds of issues can it flag?▼

It can flag secrets, dangerous APIs, injection patterns, debug leftovers, weak error handling, and other diff-level concerns.

Who gets the most value from this?▼

Developers who want an extra checkpoint right before commit, especially on fast-moving or high-risk codebases.