Reducing Component Drift Across Pages

The Problem

Over time, due to reasonable decisions made in isolation, components across our application began to drift. Buttons developed small visual inconsistencies, tables handled spacing and row styles differently, and similar UI patterns were re-implemented in slightly different ways.

Each change solved a real problem under delivery constraints. However, as the application grew, these differences accumulated, making the UI harder to maintain and less predictable for users.

Why This Was Hard

This wasn’t a single bug or broken feature — it was a systems problem.

Similar components existed in different states with different requirements. Tight coupling between UI components and individual pages made cross-cutting changes difficult, and “quick fixes” became the path of least resistance.

Addressing component drift meant resisting the temptation to patch symptoms and instead understanding what was drifting, why it was happening, and how to fix it in a way that would hold up over time.

The Decision

I approached the problem by focusing on shared intent, not just shared code.

First, I audited existing components to identify:

  • Which differences were intentional
  • Which differences were accidental
  • What similar behaviors were being solved repeatedly

From there, I worked toward a set of reusable, composable components that clearly separated:

  • Structure from presentation
  • Shared behavior from page-specific configuration

Rather than forcing a one-size-fits-all abstraction, I designed components with clear extension points. This allowed teams to opt into consistency without blocking legitimate variation.

Execution

A few guiding principles shaped the solution:

  • Composition over configuration
  • Focused components over highly configurable ones
  • “Correct” should be the easiest path

These principles helped keep components understandable, encouraged reuse, and reduced the likelihood of new drift being introduced.

Impact

Pages across the application felt more cohesive and predictable. Shared components reduced duplication and made future changes safer. New features could be built faster by composing existing patterns instead of starting from scratch.

Most importantly, the system became easier to evolve without reintroducing the same class of problems.