LegacyCode Surgeon

LegacyCode Surgeon is a web and desktop app that uses AI to analyze, map, and refactor large, ugly legacy codebases (Java, .NET, PHP, Python, etc.) into something maintainable without pretending it’s magic. It ingests your repo, builds a dependency and call graph, and then generates brutally honest reports: what’s risky, what’s dead, what’s duplicated, and what’s outright dangerous. Instead of vague suggestions, it proposes concrete refactor plans with step-by-step sequences, estimated blast radius, and suggested tests. Engineers can approve, edit, or reject AI-generated refactors and documentation before anything touches the code. It integrates directly with GitHub, GitLab, and Bitbucket to open PRs with refactors, comments, and tests attached. This is not a toy code assistant; it’s built for teams stuck with 10+ year old systems where no one fully understands the code anymore and every change feels like defusing a bomb. It won’t magically fix everything, but it will drastically reduce the fear, time, and cost of modernizing legacy software.