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Paste your GitHub repo and get instant AI-powered analysis. Vibe Code detection, production readiness scores, security audits, and actionable tips to level up your codebase.

500+
Repos Analyzed
15+
Languages
70+
Checks Per Scan
github.com/your-awesome-project
72
Vibe Score
45
Production
88
Security
61
Architecture
AI-POWERED SUGGESTIONS

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get the fix, ready to paste

GitDoctor surfaces issues and hands you a detailed prompt. Drop it straight into your AI tool and watch the fix get written for you.

GitDoctor findingNeeds Attention

Low Test Coverage

Your authentication module (src/lib/auth.ts) has 0% test coverage. This is a critical path — bugs here could silently break login and session handling in production.

Affected checks

Test CoverageProduction ReadinessCode Quality
A prompt to fix this is ready on the right →
AI Prompt — copy & paste into your AI tool
You are a senior TypeScript engineer. Write a complete
Jest + ts-jest unit test suite for the file below.

Requirements:
- Cover every exported function with at least one
  happy-path and one error/edge-case test
- Mock all external dependencies (firebase/auth,
  fetch, etc.) using jest.mock()
- Use describe/it blocks with clear, readable names
- Assert on return values, thrown errors, and any
  side-effects (e.g. firestore writes)
- Aim for ≥ 90% branch coverage

File to test — src/lib/auth.ts:

```ts
// Paste the contents of your auth.ts file here
```

Output only the test file. Do not include explanations.
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GitDoctor completely transformed how I think about my codebase. I threw in a repo I had vibe-coded over a weekend and within minutes had a clear roadmap to turn it into a production-ready app — it now has real paying customers and I couldn't have done it without this tool.

Indie Developer

I had no idea how many security holes were lurking in my side project until I ran it through GitDoctor. The security audit caught exposed API keys and three injection risks I would have shipped to production. Absolute must-have before any launch.

Full-Stack Engineer

The architecture review alone is worth it. GitDoctor gave me a clear picture of the spaghetti I had built and a prioritized list of what to fix first. Refactored the whole thing in a week and my codebase finally feels like a real product.

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CHECK BEFORE YOU SCALE

70+ checks. Every scan.
No exceptions.

Every scan runs 65 deterministic pattern-based checks plus deep AI analysis across 8 categories — not just surface-level linting. Know exactly where you stand before you onboard your first customer.

Security

16 checks
  • OWASP Top 10 Patterns

    SQL injection, XSS, CSRF, broken auth, and dangerous eval() usage

  • Hardcoded Secrets

    AWS keys, Stripe keys, OpenAI keys, JWT tokens, and private keys

  • Auth & Cookie Security

    Unprotected routes, insecure cookies, CORS wildcards, missing rate limiting

  • Input Validation Gaps

    API routes without Zod/Joi/Yup validation or file upload restrictions

Code Quality

16 checks
  • Code Smells

    God files, god modules, deep nesting, empty functions, commented-out code

  • Async Correctness

    await in .map(), .then() without .catch(), mixed async patterns

  • Complexity Signals

    Functions with 5+ params, 300+ line files, 15+ exports per module

  • Debug Artifacts

    Excessive console.log, TODO/FIXME markers, debug mode flags

Performance

16 checks
  • N+1 Query Detection

    Database queries inside loops — the most common production killer

  • Event Loop Blockers

    Synchronous file I/O, JSON.parse in loops, unbounded array growth

  • Parallelisation Gaps

    Sequential awaits that could be Promise.all(), await inside .map()

  • Frontend Bundle Bloat

    Full lodash/moment imports, missing code splitting, heavy re-renders

Production Readiness

22 checks
  • DevOps & Config

    CI/CD pipeline, Dockerfile, health endpoint, .env.example, strict TypeScript

  • Testing Depth

    Coverage ratio, empty test stubs, missing assertions, no e2e tests

  • Project Hygiene

    Committed .env, .gitignore gaps, missing README, lock file presence

  • Dependency Health

    Deprecated packages, duplicate libraries, loose version pinning

Projects with a frontend get 8 additional checks — Error Boundaries, memory leaks, a11y, key props, and more
COMPREHENSIVE ANALYSIS

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Vibe Code Score

Instantly know if your code was vibe-coded. Our AI detects patterns like missing error handling, inconsistent architecture, and copy-paste artifacts.

Production Readiness Score

Get a clear assessment of how ready your code is for production deployment at scale. From database patterns to API design.

Security Audit

Automated security scanning that catches vulnerabilities, exposed secrets, injection risks, and insecure dependencies.

Architecture Review

Understand your codebase structure with AI-generated architecture overviews, dependency graphs, and separation of concerns analysis.

UI/UX Analysis

For projects with a frontend, get detailed feedback on component structure, accessibility, responsive design, and user experience patterns.

Actionable Tips

Don't just get scores — get prioritized, actionable recommendations categorized by effort and impact to improve your codebase.

Performance Insights

Identify performance bottlenecks, memory leaks, N+1 queries, unnecessary re-renders, and other common performance anti-patterns.

Dependency Health

Full audit of your dependency tree including outdated packages, deprecated libraries, known CVEs, and license compatibility.

SIMPLE PROCESS

From Repo to Report
In 60 Seconds

01

Paste Your Repo Link

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02

Configure Analysis

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03

AI Analyzes Your Code

Claude reads every file, understands your architecture, and generates a comprehensive analysis.

04

Get Your Report

Receive detailed scores, insights, security findings, and actionable tips to improve your code.

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