FifthInsights / AI code cleanup
AI code cleanup that makes rapid builds maintainable
AI-assisted code can accumulate quickly: repeated components, hidden coupling, unclear names and fixes that patch the symptom. We turn that pile into a codebase a team can confidently change.
Tell us what's in the way01 / The work
Move with evidence, not optimism.
Cleanup is not a beauty contest. We begin with the parts that repeatedly break, slow delivery or make new engineers afraid to touch the product, then protect the behavior customers already depend on.
The result is a smaller cognitive load: clearer responsibilities, less accidental duplication, useful guardrails and a backlog that reflects business value rather than abstract purity.
02 / What's included
Targeted refactoring of critical paths
Dependency and dead-code reduction
Conventions and handover notes
03 / How we work
- 01
Identify user-critical and frequently changed areas
- 02
Make current behavior observable before change
- 03
Refactor in small, reviewable slices
- 04
Leave pragmatic conventions your team can continue
04 / FAQ
Can you clean up code without pausing feature work?
Usually, yes. We can reserve a portion of each delivery cycle for the hotspots that block feature work, or run a focused stabilisation milestone before an important launch.
Do you replace all AI-generated code?
No. Generated code is not automatically bad. We retain what is understandable and fit for purpose, then improve the areas where the cost of future change or failure is too high.