Built it fast with AI.
Is it safe to ship?
Paste a GitHub repo. fis reads the code — not skims it — across 13 dimensions of security, privacy, reliability, and AI-generated-code risk, then hands you a clear verdict and a fix for every issue.
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
Snapshot
fis pulls a high-priority slice of your repo — source, config, manifests, CI — straight from GitHub.
Scan
Deterministic scanners flag hardcoded secrets and dependency CVEs as hard evidence.
Reason
Claude Opus reasons across 13 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.
13 dimensions, one priority framework
Linters check syntax. fis reasons about whether your software survives contact with production.
Why fis, not a linter
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.
Hard guardrails
Deterministic secret and CVE scanners ground the verdict in facts before any reasoning — the score can't hand-wave past a leaked key.
Shareable reports
Every audit becomes a link you can send to your team, your client, or your future self.
Find out before your users do.
Point fis at any public GitHub repo and get a production-safety verdict in minutes. No signup, no setup.