[AI Legacy Bridge] — AI-Powered Legacy Code Intelligence Platform

Enterprises depend on large, aging codebases that are poorly documented and often maintained by people who have since left. New developers take weeks or months to become productive, every change risks unintended breakage, and modernization projects are hard to scope because the system is not well understood. Manual code reading is slow and expensive, and it puts delivery timelines and system stability at risk.

I built AI Legacy Bridge, a full-stack code intelligence platform (Spring Boot, React, PostgreSQL with pgvector, and a Python FastAPI AI service). It analyzes any repository and shows an interactive dependency graph, a health score, and flags for tight coupling, complex files, duplicated code, and architecture violations. A LangGraph-based AI agent with RAG answers plain-English questions by reading the actual source code, with guardrails, conversation memory, and evaluation built in. The platform reduces new-developer onboarding time, since engineers can explore the architecture and get answers on their own instead of reading the code line by line. It also cuts down interruptions to senior engineers, because the questions they usually answer ("where should I start?", "what does this module do?") are now handled by the AI assistant. Test generation and migration suggestions are in progress.

Faster onboarding: projected reduction of onboarding time on a legacy codebase from around 4 weeks to 1-2 weeks, since developers explore architecture and get answers on their own. Less senior engineer interruption: routine "where is this / what does this do" questions move to the AI assistant, freeing an estimated 5-8 senior hours per week per team. Financial impact (estimated): for a team onboarding 5 developers a year, faster ramp-up and recovered senior time could save roughly $25,000-$40,000 annually in engineering cost. Lower risk: dependency and architecture-violation visibility helps prevent costly regressions during changes and migrations. Better planning: clearer scope gives more accurate modernization estimates.