Commit Bear

Pull‑request guardian for Vibe Coders.

Ship fearless code. Keep the vibe.

Check 🔍 — Semantic diff audit that aligns prompt ↔ code and surfaces scope drift, security gaps, and license landmines.

Improve ✨ — One-click AI fix generator that delivers merge-ready patches, a 5-point Risk & Speed Snapshot, and a reproducible test plan.

Launch 🚀 — Diff-aware setup guide that auto-writes install, migrate, and deploy commands so any human—or bot—can run the branch first try.

Pull Request #42
Add user authentication system
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🐻 Commit Bear Review Overview

1️⃣ Prompt Compliance Score

75% – Aligns with prompt but added OAuth, missed "Forgot password."

2️⃣ Plain-English Risk Snapshot

Security: OAuth tokens stored insecurely 🔥
Data: New `users` table added

3️⃣ Secret & License Scan

✅ No leaked keys ⚠️ New GPL dependency detected (`foo-oauth`)

4️⃣ Quick-Fix Prompt (drop into your coding agent)

"Remove OAuth & dark-mode, add 'Forgot password' link, finish error handling, store access tokens in short lived HTTP-only cookies."
JD
Ready to review

A Complete, Powerful Workflow

Commit Bear stitches three lightweight checks straight into every pull request so you can merge with confidence:

1. Check

The lie-detector for your AI coder—catches drift, leaks, and license traps before humans even look.

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2. Improve

One pass, two outputs: crystal-clear notes for you and a precision fix prompt for your bot.

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3. Launch

Paste once—watch the branch set itself up and run on any machine.

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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.

  • Sniffs out your original prompt and the full diff—no manual tagging, no config files.

2. Grades the gap.

  • Computes a one-number Compliance Score while spotlighting ✅ matches, ⚠️ off-script additions, ❌ missing must-haves, and 🔒 critical risks.

3. Surfaces the snags.

  • Runs deep scans for secrets, insecure patterns, and license misfits; bundles the verdict into a 5-second Risk Snapshot.

4. Writes the remedy.

  • 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.

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Prompt Validation Report

🛡️ 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:

Fix the following in the code you just generated:
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

  • reads the diff, infers the goal, and distills a plain-English What Changed / Why It Matters snapshot.

2. Maps verification

  • draws a concise Code-Flow diagram and hands you a copy-paste How to Test script—micro-benchmarks included.

3. Audits risk & performance

  • scores security, data impact, complexity, and latency in a single Risk & Speed Snapshot.

4. Delivers the remedy

  • 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.

PR #87: Add User Authentication
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Complete PR Analysis

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

🔒Security Issues: No - All authentication flows follow security best practices
💔Breaking Changes: No - Users won't notice anything broken, just new login options
💾Data Changes: Yes - Adds new user accounts table to store login credentials safely
🔋Performance Impact: No Change - Login happens once per session, won't slow down the app
🧩Complexity Added: Medium - Adds authentication logic but follows standard patterns

🔄 Code Flow

graph TD;
  A["User Visits"] --> B["Login Check"]
  B --> C["Dashboard"]
  B --> D["Login Page"]
  D --> E["Registration"]

🧪 How to Test

  1. Navigate to /login
  2. Try registering a new account
  3. Verify email validation works
  4. 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:

Improve the authentication system by: 1) Adding password strength validation (8+ chars, uppercase, number, special char), 2) Implementing rate limiting (5 failed attempts = 15min block), 3) Adding specific error messages for different auth failures. Make it secure but user-friendly!

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.

  • Detects fresh packages, environment variables, migrations, external services, and license shifts.

2. Splits the playbook.

  • Your Actions: steps that touch API keys, secrets, or personal preferences.

  • Agent Actions: shell commands and service starts your AI coder can execute unattended.

3. Builds the launch kit.

  • Bundles everything—commands, configs, infra notes—into a single Launch Instructions block dropped right into the PR.

4. Checks compliance.

  • 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.

PR #87: Add MongoDB Integration
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Launch Instructions

1. Your Actions

  1. Download Docker Desktop
  2. Add your API keys to .env.local:
    #.env.local
    OPENAI_KEY=<YOUR_OPENAI_API_KEY>
  3. 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:

# Start the Docker container
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

Simple Integration, Powerful Results

No workflow changes required. Commit Bear works alongside your existing GitHub processes, enhancing your current approach. Making code review collaboration and deployment clear, simple, and efficient.

Install the Commit Bear GitHub App

Quick installation process for your repositories.

Continue Working As Usual

Commit code and create pull requests as you normally would.

Receive Automatic PR Assistance

Commit Bear automatically analyzes your PRs.

Adds detailed review, actionable next steps.

Provides prompts to your coding agents.

Ready to Transform Your PR Experience?

Commit Bear is currently in beta. Join our waitlist to be among the first to try this revolutionary GitHub companion:

  1. Sign up for our beta program
  2. Get early access when spots become available
  3. Help shape the future of GitHub collaboration tools with your feedback

Frequently Asked Questions

Everything you need to know about getting started with Commit Bear.