Powerful Features for Modern Development
Commit Bear provides three essential tools that transform your GitHub workflow: intelligent code analysis, automated improvements, and seamless deployment setup.
1. Check 🔍
The lie-detector for your AI coder—catches drift, leaks, and license traps before humans even look.
What It Is
Your PR lie detector—an AI gatekeeper that cross-examines every pull request against the original prompt, scores compliance, and flags drift, danger, and dubious licenses before a human ever clicks "Review."
How It Works
1. Finds the source of truth.
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Sniffs out your original prompt and the full diff—no manual tagging, no config files.
2. Grades the gap.
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Computes a one-number Compliance Score while spotlighting ✅ matches, ⚠️ off-script additions, ❌ missing must-haves, and 🔒 critical risks.
3. Surfaces the snags.
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Runs deep scans for secrets, insecure patterns, and license misfits; bundles the verdict into a 5-second Risk Snapshot.
4. Writes the remedy.
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Auto-generates a drop-in "Quick Fix" prompt your coding agent can use to patch every issue in one shot.
Vibe Gains
🛡️ Zero surprise merges – scope creep, phantom files, and hallucinated edits are exposed before they ever touch main.
🔐 Security & license zen – secrets, shady dependencies, and GPL gremlins light up in real time.
📏 Spec fidelity on autopilot – every PR gets an objective grade, no debate, no politics.
⚡ Instant course-correction – one click ships a perfectly scoped fix prompt straight to your AI coder.
🛡️ Prompt Validation
📋 Your Original Prompt
File: auth/login.tsx
Add a login form with email and password fields, validation, and error handling. Include a "Remember me" checkbox and "Forgot password" link. Style it using Tailwind.
🎯 Compliance Score:
🟡 75%✅ What the AI Got Right
- Created login form with email and password fields
- Implemented form validation
- Added "Remember me" checkbox
- Styled using Tailwind CSS
⚠️ Unexpected Additions
- Added Google OAuth login option (not requested)
- Implemented dark mode toggle (not in prompt)
❌ What's Missing
- No "Forgot password" link was implemented
- Error handling is incomplete
🔒 Critical Risks
- Security concern: OAuth implementation stores tokens insecurely in localStorage
🔄 Verdict
🟡 Minor Drift (75%)
AI mostly followed your prompt but added OAuth and missed the "Forgot password" link.
🔧 Quick Fix Prompt
Copy this prompt to your AI coding agent:
1. Add a "Forgot password" link below the form
2. Remove the Google OAuth login option
3. Complete the error handling for failed login attempts
4. Remove the dark mode toggle
2. Improve ✨
One pass, two outputs: crystal-clear notes for you and a precision fix prompt for your bot.
What It Is
A two-channel AI reviewer that turns every pull request into an executive brief for people and a surgical Quick-Fix prompt for your coding agent—speed, safety, and clarity built in.
How It Works
1. Extracts intent
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reads the diff, infers the goal, and distills a plain-English What Changed / Why It Matters snapshot.
2. Maps verification
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draws a concise Code-Flow diagram and hands you a copy-paste How to Test script—micro-benchmarks included.
3. Audits risk & performance
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scores security, data impact, complexity, and latency in a single Risk & Speed Snapshot.
4. Delivers the remedy
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produces a pinpoint Quick-Fix prompt (or patch) your AI coder can apply instantly—no re-explaining required.
Vibe Gains
🚀 Faster merges – feedback and fix land together, collapsing review loops.
📊 Performance proof – automatic speed checks flag regressions before they ship.
📏 Quality on autopilot – best-practice DNA baked into every change.
🔒 Guard against secret leaks & privacy slips – real-time diff scans catch tokens and PII.
🛡 Risk contained – security and data pitfalls neutralised pre-merge.
✨ What Changed
Added user login and registration system with email/password authentication and social login options.
🎯 Why It Matters
Users can now create accounts, save preferences, and access personalized features across the application.
🚦 Risk Assessment
🔄 Code Flow
graph TD; A["User Visits"] --> B["Login Check"] B --> C["Dashboard"] B --> D["Login Page"] D --> E["Registration"]
🧪 How to Test
- Navigate to /login
- Try registering a new account
- Verify email validation works
- Test login with created credentials
👀 Expected Outputs
Successful login redirects to dashboard, failed attempts show clear error messages, registration creates new user account.
🤖 AI Prompt
Copy this prompt to your AI coding agent:
3. Launch 🚀
Paste once—watch the branch set itself up and run on any machine.
What It Is
A branch-to-runtime blueprint that turns any diff into a turnkey launch guide—your personal checklist for humans and a ready-to-run script for the coding agent.
How It Works
1. Scans the diff.
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Detects fresh packages, environment variables, migrations, external services, and license shifts.
2. Splits the playbook.
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Your Actions: steps that touch API keys, secrets, or personal preferences.
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Agent Actions: shell commands and service starts your AI coder can execute unattended.
3. Builds the launch kit.
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Bundles everything—commands, configs, infra notes—into a single Launch Instructions block dropped right into the PR.
4. Checks compliance.
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Surfaces license obligations, infra prerequisites, and security handshakes before anyone hits "Deploy."
Vibe Gains
⚙️ Zero setup friction – every dependency, env var, and migration spelled out and copy-paste runnable.
🤖 Agent-ready automation – pre-generated commands let your coding bot spin up the stack without supervision.
⏱ Onboarding in minutes – new teammates go from clone to running app faster than they can ask for help.
📜 Compliance calm – license duties and infra checkpoints appear early, not after an audit.
1. Your Actions
- Download Docker Desktop
- Add your API keys to .env.local:#.env.local
OPENAI_KEY=<YOUR_OPENAI_API_KEY> - Choose your preferred LLM model in config.toml:#config.toml
model=openai/o4-mini
2. AI Coding Agent Prompts
Copy these commands and explanations to your AI coding agent:
docker-compose up -d
# Initialize the database
npm run db:init
# Run the development server
npm run dev
# The application will be available at
http://localhost:3000
Why Commit Bear?
Commit Bear isn't just another dashboard—it's an on-call teammate living inside every PR, purpose-built for AI-written code.
Understands intent, not just lines
Semantic diffing + LLM reasoning reconstruct the why behind each change, so reviews focus on purpose, not guesswork.
Speaks risk in plain English
Security, data, performance, UX, and latency scores land as a one-screen brief anyone can skim—no acronyms, no stress.
Locks down security & performance
Real-time secret scans, license checks, and micro-benchmarks expose leaks, vulnerabilities, and slow-downs before they merge.
Delivers fixes on demand
One-click prompts (or patches) slot straight into your coding agent, turning red flags into ready code without another review loop.
Bootstraps every branch
Auto-generated install, migrate, and deploy scripts ensure QA, PMs, and DevOps all launch from the same green light—first time, every time.
Keeps your code home
A privacy-first GitHub App that runs where your CI already lives; nothing leaves the repo, ever.
Benefits for Every Team Member
Commit Bear enhances the development experience for everyone on your team.
For Vibe Coders
- •Understand the impact of code changes without diving into technical details
- •Implement feedback efficiently with AI-generated prompts
- •Set up complex environments with simple, clear instructions
- •Validate that AI tools correctly implement your intentions
For Solo Entrepreneurs
- •Accelerate your development cycle with clear feedback and action plans
- •Gain confidence in technical decisions without deep expertise
- •Focus on building your product, not wrestling with GitHub processes
- •Leverage AI coding tools safely with prompt validation
For Experienced Developers
- •Spend less time explaining changes to non-technical team members
- •Ensure consistent standards across all PRs
- •Quickly integrate contributions from less experienced developers
- •Validate that all team members' AI-generated code follows intended specifications
Ready to Transform Your Development Workflow?
Join the beta and experience the future of GitHub collaboration.