Migrating legacy code to modern languages, frameworks, or architectures is one of software engineering’s perennial challenges. Traditional approaches rely on manual inspection, painstaking rewriting, and exhaustive testing, often consuming months of developer effort. With advances in large language models (LLMs) and AI-assisted tooling, developers now have powerful ways to accelerate migration, reduce manual toil, and improve the quality of transformations.
In this article, we explore how AI can assist code migration in real projects, practical workflows developers can adopt, and caveats to ensure safe and maintainable outcomes.