AI-Assisted Code Migration

AI-assisted code migration is the controlled process of moving an existing codebase to a new language, architecture, runtime, framework, or dependency model with help from AI coding agents. The point is not simply to have a model rewrite large amounts of code. A reliable migration still needs inventory, a migration plan, small reviewable changes, automated tests, human architecture decisions, and a rollback path if behavior changes. In practice, AI can accelerate repetitive work such as API updates, type conversions, test generation, dependency replacement, or translating recurring patterns between frameworks. The difficult parts remain engineering responsibilities: understanding edge cases, checking security assumptions, comparing performance, and proving that the migrated code still does the same business-critical work. Strong teams treat AI-assisted migration as a software delivery program, not as a one-shot generation task. Progress is measured through passing tests, stable interfaces, traceable pull requests, and lower technical debt rather than through the number of lines produced.