We help engineering teams understand what's really inside their codebase — before it becomes a production incident.
Most teams don't know the true state of their codebase until something breaks in production. Technical debt accumulates quietly: a vulnerable dependency here, a hardcoded secret there, a module nobody dares touch. By the time it surfaces, the cost is ten times higher than if it had been caught earlier.
Legacy systems are especially painful. They work — until they don't. And when they fail, the team that built them is usually long gone.
LegacyCode MRI is a scanner that gives your codebase a full medical checkup. Connect a GitHub repository and in a few minutes you get a risk score, a breakdown of every finding by severity, and an AI-generated summary that tells you exactly what to fix first and why.
Under the hood we run three open-source scanners in parallel — Trivy for CVEs, Gitleaks for secrets, Semgrep for static analysis — and then feed everything to Claude (Anthropic) for the diagnosis. The result is actionable, not just a list of numbers.
Zero code retention. Your repository is cloned, scanned, and deleted. We store findings (file paths, line numbers, severity) — not your source code.
Read-only access. We request the minimum GitHub permissions needed to list and clone repositories. We never push, open PRs, or modify your code.
Your IP stays yours. Nothing about your codebase is used to train models or shared with third parties outside the scanning pipeline.
LegacyCode MRI is built for engineers and CTOs who inherit old systems, teams that need to justify a refactoring budget, and startups that move fast and want to catch security issues before they become breaches.
If your team has more than one repository that nobody fully understands, LegacyCode MRI is for you.