Logic that passes tests but fails in prod
Null branches, stale assumptions, missing error handling, and changed contracts between files.
return user.role === "admin" || bypassAI-powered code review that flags bugs, security risks, and bad patterns inline before merge.
@@ bypass_jwt @@- claims = jwt.decode(token, PUBLIC_KEY, algorithms=["RS256"])+ claims = jwt.decode(token, verify=False)verify=False accepts forged tokens. Verify signatures with allowed algorithms.
How Codesurf works
What it catches
Codesurf is tuned for practical review signal: the bug, security, dependency, and code-quality issues that are easy to miss when a pull request looks harmless.
Null branches, stale assumptions, missing error handling, and changed contracts between files.
return user.role === "admin" || bypassSignature bypasses, permissive CORS, exposed tokens, weak validation, and risky framework settings.
jwt.decode(token, verify=False)Vulnerable packages, suspicious upgrades, unpinned versions, and dependencies that deserve a closer look.
"debug": "^2.6.8"Duplicated checks, silent fallbacks, brittle abstractions, and code that quietly increases review debt.
catch (e) {}Start free, then pick a monthly credit bundle that fits your review volume.
For trying Codesurf on a small repository.
For active projects that want AI review on regular pull requests.
For teams with higher review volume across multiple repositories.
Reviews consume at least 1 credit based on analyzed diff size. Repository audits consume at least 10 credits based on scanned source size.
Sign in, install the GitHub App, register a repository, and your next pull request is review-ready.
Release confidence
Use Codesurf as a GitHub pull request check for day-to-day changes, then run repository audits when you need broader security, dependency, and architecture coverage.
Changed files checked inline where developers review.
Auth, secrets, unsafe defaults, and risky dependency changes flagged.
Full-codebase checks for releases where PR context is too narrow.
merge when findings are understoodPractical guides for secure, fast shipping teams.
Move fast with AI-assisted development without shipping unverified assumptions.
Read article →The METR study found a 19% slowdown. CodeRabbit found 1.7x more defects. And 20% of AI-generated code references packages that don't exist.
Read article →Three real supply-chain attacks and what they teach about dependency auditing that actually prevents incidents.
Read article →What repo-wide audits find that PR-only reviews can miss in real-world codebases.
Read article →Answers for teams comparing GitHub pull request check tools and AI code review workflows.
Codesurf is a GitHub-native AI code review tool that reviews pull requests, highlights actionable bugs and security risks, and keeps review history in a web dashboard.
Yes. Codesurf is designed for teams using AI coding tools who still need human-grade review signals for authentication, secrets, dependencies, unsafe defaults, and logic regressions.
Teams sign in with GitHub, install the GitHub App, register repositories, configure review policy, and receive automated findings on pull requests.
No. Pull request reviews inspect changed code, while repository audits scan broader codebase context for security, architecture, dependency, and code quality risks.
No. Codesurf does not use per-seat pricing and does not cap repositories. Multiple contributors can work across registered repositories, with charges based on fair usage credits for reviews and audits.