Part 4: AI-Assisted Legacy Code Refactoring & Modernization
Answer-first: Using generative AI to refactor legacy code without safety nets is reckless, as LLMs frequently discard undocumented edge cases and subtle bug-for-bug dependencies. A bulletproof AI Modernization Framework combines Golden Master (Characterization) Testing, Tree-sitter AST dependency extraction, and two-phase reasoning validation (DeepSeek-R1 / Claude 3.7) to refactor multi-thousand-line monolithic modules with zero behavioral regressions. 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub | Next Chapter: Part 5: Autonomous Testing & QA Automation → ...