Modernizing legacy React doesn't require a full rewrite. I break down my approach to incrementally refactor large codebases — improving testability, structure, and developer experience without slowing delivery.
Every engineering team eventually faces it: the bloated legacy React codebase. Years of iteration, evolving styles, inconsistent patterns, and a jungle of props passed down like family heirlooms. The problem isn't just technical debt, it's velocity debt. When changes take longer than they should, onboarding new engineers is painful, and testing becomes fragile, it’s time to refactor.
Here’s how I approach modernizing React codebases without stopping the world.
Our legacy codebase had grown organically for years, resulting in deeply nested props, outdated class components, and tightly coupled business logic. It slowed delivery and made onboarding new engineers harder than it should be. Refactoring wasn't about polishing code, it was about unblocking the team and creating a maintainable foundation.
Before refactoring, we set clear objectives:
We had to do this incrementally, feature work couldn’t stop. The solution had to balance improvement with ongoing delivery.
We avoided big rewrites. Instead, we refactored as we touched components for feature updates or bug fixes. During each touchpoint, we:
This approach allowed us to modernize without risking disruption.
Switching from Enzyme to React Testing Library was a major win. RTL encouraged tests that better reflected user behavior and reduced false positives. We prioritized test migrations for:
We created helpers like renderComponent to simplify setup and keep tests DRY.
We made a deliberate effort to remove business logic from UI layers. For example:
Hooks became a powerful tool for enforcing separation of concerns.
Refactoring only works if it’s embraced by the whole team. We:
This helped scale the effort and build consensus around best practices.
Small changes added up:
Feedback from the team was consistently positive, the codebase became easier to navigate and contribute to.
The impact wasn’t just technical, we shipped faster, with fewer regressions and higher confidence. The migration wasn’t perfect, but it proved that refactoring can be sustainable, incremental, and aligned with product delivery.
Modernizing a React codebase isn’t about perfection, it’s about enabling progress. With clear goals, a collaborative approach, and thoughtful tradeoffs, you can turn a legacy system into one that grows with your team, not against it.