Scaling LLM-Driven Code Refactoring Across Enterprise Monorepos
A field guide to using large language models for large-scale refactoring, dependency mapping, AST transformations, and merge conflict resolution.
Why monorepos need semantic tooling
Large repositories make simple search-and-replace unsafe. Refactoring must account for imports, generated code, runtime bindings, ownership boundaries, and the tests that describe behavior more accurately than documentation.
Build a dependency graph before editing
A reliable migration begins by identifying callers, consumers, and hidden configuration. Feed the agent a focused dependency subgraph rather than an entire repository, then require it to list compatibility risks before proposing changes.
Make migrations incremental
Use expansion-and-contraction steps, keep intermediate builds green, and let each small patch be independently reviewed. This turns a risky rewrite into a series of reversible decisions.
Conclusion
LLM-assisted refactoring is most valuable when paired with deterministic analysis, CI checks, and a migration plan that respects active development.
Use AI to expand the amount of thinking your team can verify — never to remove verification from the loop.
