Built with AI.
Trusted to ship.
Paste a GitHub repo. fis reads the code across 14 dimensions of security, privacy, and reliability, surfaces every risk with evidence and a fix, and delivers a verdict you can stake your reputation on.
Every audit ends in one of four verdicts
Ship it.
A short list stands between you and ship.
Real problems — fix before users arrive.
Do not ship. Here's exactly why.
How it works
Read
fis reads your repo straight from GitHub — source, config, manifests, CI — and focuses on the code that decides whether you ship.
Scan
Deterministic scanners flag hardcoded secrets and dependency CVEs as hard evidence.
Reason
Claude Opus reasons across 14 dimensions with extended thinking — semantic analysis, not pattern matching.
Verdict
You get five component scores, every issue with a fix and effort estimate, and a clear ship / don't-ship verdict.
14 dimensions, one priority framework
Linters check syntax. fis reasons about whether your software survives contact with production.
Want the detail behind each one? See exactly what we check.
Evidence, not opinion
Reasoning, not regex
Claude Opus 4.8 with extended thinking reads architecture, error handling, and intent — catching the AI-generated anti-patterns a linter can't see.
Evidence on every finding
20–80+ issues, each with the offending code, business impact, root cause, and a remediation effort estimate. No vague advice.
A verdict you can stand behind
Every finding is anchored to hard evidence — a hardcoded secret or a known CVE shows up as fact, not opinion. Share it with a client, sign off a deployment, or send it to a reviewer. It holds up.
Shareable reports
Every audit becomes a link you can send to your team, your client, or your future self.
Measured, not claimed
0 of 25
false criticals on clean, mature libraries — both tiers
11 of 11
intentionally-vulnerable apps verdicted unsafe
0 of 20
secret false-criticals on real deployed apps
16 of 20
mature deployed apps passed green, Deep tier
Small corpora, honest caveats — every number ships with its method and confidence interval. Read the benchmark →
A human vibe-code audit runs $500–$3,000 and takes days to weeks. fis deep-verifies a repo in minutes — with the evidence attached.
Ship code you can stand behind.
Paste any public GitHub repo and get an evidence-based trust verdict in minutes. No signup, no setup.