Legacy Lift

Enterprise software is bogged down by legacy Java codebases. Manual migration costs upwards of eight hours per 1,000 lines of code—with 60 to 80 percent of that effort spent on security reviews, architecture, and testing rather than writing new code. Existing AI coding assistants migrate blindly. They translate Java to Python or TypeScript without consulting project documentation, producing syntactically correct code that ignores undocumented business rules. The Solution: LegacyLift Built using IBM Bob 2.0, LegacyLift is a document-aware, multi-agent modernization pipeline. It treats project documentation as non-negotiable migration constraints through a strict five-stage process: Stage 0: Project Understanding. Analyzes Java source files via AST, maps inter-class dependencies, detects circular coupling, and ranks files by cyclomatic complexity to dictate the migration order. Stage 0.5: Document Ingestion (The Core Innovation). Reads the pom.xml (flagging CVEs like Log4Shell), Architecture Decision Records (ADRs), and Javadocs to extract strict rules (e.g., GDPR data minimization, API contracts, forbidden magic numbers) before any code is generated. Stage 1: Parallel Analysis. Spawns specialized Architecture, Security, and Testing subagents. A Convergence Gate evaluates all findings and halts the pipeline if critical blockers or P0 vulnerabilities are found. Stage 2: Execution. Generates equivalent Python code with all ADR constraints enforced. Automatically runs generated pytest suites and pylint static analysis, self-correcting upon failure. Stage 3: Delivery & CI/CD. Produces comprehensive Modernization and Impact Reports, detailing benchmarked productivity gains. Outputs a complete, production-ready CI/CD stack including Dockerfiles, docker-compose.yml, and GitHub Actions workflows with integrated Trivy security scans.