Point it at any public GitHub repository and get an AI-generated verdict — analyzing your architecture and system design, health score, security findings, deployment risks, and prioritized fixes.
From repo URL to a full AI production readiness report in under a minute
Enter any public GitHub repository in owner/repo format. No installation, no CLI, no tokens. Files are fetched via the public GitHub API — your account is never used to access code.
We fetch up to 150 of your most important files and run 78 automated rules across 7 categories. Claude AI then filters false positives, finds issues the rules missed, and writes codebase-specific suggestions.
Receive a production readiness verdict — Ready, Needs Work, or Not Ready — with a 0–100 health score, an AI-written assessment, concrete strengths and risks, and one recommended next step.
Comprehensive code analysis across 7 critical categories with 78 automated rules
Detect god files, circular dependencies, business logic in routes, TypeScript strict mode, and more.
Find hardcoded secrets, open CORS, missing auth, CSRF protection, weak password hashing, and more.
Analyze query patterns, indexing, pagination, SQL injection, connection pooling, and transactions.
Detect missing cache layers, uncached DB queries, absent HTTP cache headers, and cache TTL issues.
Review async error handling, swallowed exceptions, global handlers, retry logic, and graceful shutdown.
Check Dockerfile, CI/CD, health checks, env validation, hardcoded localhost, and more.
Assess session stores, rate limiter storage, file uploads, blocking I/O, and global state.
More than a linter — a full AI assessment of whether your code is ready to ship
After automated rules run, Claude AI reviews the findings — removing false positives, discovering missed issues, and rewriting suggestions to reference your actual code.
Every report ends with a clear verdict: Ready, Needs Work, or Not Ready — with a confidence score and one recommended next step before you deploy.
Detect hardcoded secrets, open CORS, missing auth middleware, exposed error messages, and insecure configurations before they reach production.
Identify god files, missing service layers, N+1 queries, lack of caching, and patterns that will bottleneck you as your user base grows.
A single 0–100 score calculated from issue severity and count across all 7 categories — giving you a quick read on overall code quality.
Every issue links to the exact file and line number with a code snippet as evidence, so you know precisely where to look and what to change.
Pattern-based rules cover security, database, caching, error handling, scalability, architecture, and deployment — all running in parallel.
Prioritised file selection fetches config files, schemas, routes, and services first — ensuring the most important code always gets analysed.
Whether you're shipping your first product or managing a large codebase, get an AI assessment that fits your workflow
Shipping fast but unsure if your codebase can handle real users? Get an honest production readiness verdict before launch day.
Use AI-generated reports as a starting point for code reviews — so reviewers focus on logic, not checklists.
Surface hardcoded secrets, open CORS, missing auth, and exposed error messages across the entire codebase automatically.
Give contributors and users confidence that your project meets production quality standards with a shareable health report.
Spot architectural drift — god files, missing service layers, and mixed async patterns — before they become expensive refactors.
Evaluate a codebase's quality quickly during technical due diligence or when assessing a new engineering hire's previous work.
Minimal permissions, no code storage, full transparency. Here's exactly what we access and why.
Exact GitHub OAuth scope we request
scope: "read:user user:email"This only lets us read your public profile and email address. It does not grant access to any repository — public or private. You can verify this in the GitHub OAuth scopes reference.
We only request read:user and user:email from GitHub OAuth. These scopes let us know who you are — they give zero access to any repository, public or private.
Public repository files are fetched using our own server-side GitHub token via the public API. Your OAuth token is never used to read code.
Files are fetched, analysed in memory, and discarded immediately. We persist the report findings — file paths, issue descriptions, scores — never the source code itself.
You can analyse any public repository by entering owner/repo — no GitHub account needed at all. Sign in only if you want to save report history.
Get full access to every analysis category from day one.
Paste a GitHub repo and get a full AI assessment — health score, security findings, production risks, and a verdict — in under a minute.