Generative UI Migration Playbook: Legacy to AI Frontend

Prerequisite: Familiarity with the concepts introduced in Part 6 — E2E Testing Edge. Review it first if the terminology in this part is unfamiliar. Part 7 — Migration Playbook to Generative UI: Legacy to AI-Native Frontend Answer-first: Migrating a legacy React codebase to a Generative UI architecture does not require a complete application rewrite. By following a structured 4-Phase Strangler Fig Migration Playbook—Auditing UI Components (Phase 1), Extracting Component Registry Schemas (Phase 2), Deploying Edge SSE Stream Routers (Phase 3), and Incrementally Rolling Out Generative Views (Phase 4)—engineering teams migrate legacy applications safely without downtime. ...

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 → ...