Your agent wrote the code.
This finds what it broke.
Paste the session with Claude Code, Codex, Cursor or Lovable — or the code it wrote. You get what the agent claimed against what it actually showed, the questions that make it prove the rest, and the exact prompt to send back to fix what it broke.
Why not just ask the agent that wrote it? Because the model that made the mistake is the one least likely to see it. A second opinion has to come from outside the loop — a different reviewer, hunting a fixed list of known failures, with no memory of why the code was written that way.
Generation got solved. Verification did not.
Every measurement published this year points the same way: agents ship more code, faster, with more holes in it — and the holes get worse with each round of iteration, not better.
- 10×the rate of security findings
- AI-assisted developers commit 3–4× faster than their peers but introduce security findings at 10× the rate, across Fortune 50 codebases.
- 45%of AI-generated code carries an OWASP Top 10 flaw
- Veracode's Spring 2026 GenAI code security study, testing more than 100 models on security-sensitive tasks.
- 35CVEs traced to AI-generated code in a single month
- Georgia Tech's Vibe Security Radar recorded 6 in January 2026, 15 in February and 35 in March — a rising curve, not a plateau.
- 26%of published agent skills contain a vulnerability
- A study of 31,132 AI agent skills found 26.1% contained at least one flaw — prompt injection, data exfiltration or privilege escalation.
Three steps, about a minute.
- 01
Paste the session, or the code
The conversation from your request to the agent's final summary — or a file it wrote. No session to hand? Tap a sample and see it work in twenty seconds.
- 02
Read what it claimed vs. what it showed
Every claim lands as verified, unverified or contradicted, and anything you asked for that quietly disappeared is flagged as dropped. Free, in full, no signup.
- 03
Make it prove the rest — and run it better next time
You get the questions to paste back — each one demanding raw output, each one falsifiable — plus coaching on what to write differently next time, drawn from your own session.
The check is free. The fixes are the product.
You never have to pay to find out what is wrong with your code. You pay to stop doing the repair work by hand.
Free
No account needed
- Every finding, in full — what broke, where, and why it matters
- The full ledger, the questions to paste back, and coaching on how to run the session better — every time
- 10 free checks a month, no account — 25 with a free account
Builder
$29/month, or $228/year
- A paste-ready repair prompt for every single finding
- Unlimited checks, and a deep scan — a slower, harder look at the same file
- Deep audit — a slower, more thorough pass — and sessions up to four times longer
Learn to catch this yourself.
The catalog explains every failure class and why agents produce it. The course teaches the review loop that catches them before they reach your repo.