LegacyLift — AI Legacy Modernization Radar

LegacyLift is an AI-powered modernization intelligence platform built to help organizations understand and safely transform legacy enterprise software systems. Instead of relying on manual code reviews or costly architecture discovery exercises, LegacyLift automates modernization analysis using IBM BOB agents and a risk-engine pipeline to surface technical debt, architectural bottlenecks, and upgrade priorities. The project analyzes a legacy codebase (demonstrated using CargoTracker, a Java domain-driven design application) and produces actionable modernization insights. LegacyLift scans dependencies, evaluates bounded contexts, identifies high-risk modules, estimates upgrade effort, and visualizes architectural relationships in a live dashboard. The system transforms raw analysis into decision-ready insights for architects, engineering managers, and modernization teams. Using IBM BOB’s Architect Mode, Modernization capabilities, and BobShell audit outputs, LegacyLift generates structured intelligence that would normally require weeks of manual enterprise assessment. The platform highlights dependency hotspots, technical debt concentrations, risky modules, and recommended modernization paths while also producing a transparent audit trail of what the AI system discovered and why. The application includes a React dashboard for visualization, a Node.js risk-engine API for analytics, and JSON-based reporting pipelines that expose modernization summaries, recommendations, risk scores, dependency graphs, and quick-win opportunities. Teams can compare “before” and “after” modernization states to better understand transformation impact and planning effort. LegacyLift turns legacy modernization from a guessing game into a measurable, explainable process—helping enterprises reduce migration risk, prioritize engineering effort, and accelerate digital transformation with AI-assisted architectural intelligence.