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code-simplification

Simplify working code while preserving behavior—remove dead paths, flatten nesting, clarify names, reduce duplication. Use after features work but code feels over-engineered.

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Code Simplification

Behavior-preserving simplification pass on code that already works. Distinct from design-smell-review (structural critique before change) and refactor-legacy-python-pr (scoped legacy cleanup PRs).

When to use

  • Feature is done and tested; complexity exceeds need
  • Review feedback says "over-engineered"
  • Preparing a focused hygiene PR

When not to use

  • Bug is still open (fix behavior first)
  • Large architectural rewrite (use incremental-implementation)
  • No tests and behavior is unclear (add tests or spike first)

Workflow

  1. Baseline — confirm tests pass or define minimal manual checks
  2. Inventory — list simplification targets (unused code, deep nesting, duplicate logic, premature abstraction)
  3. One change at a time — small commits; run tests after each
  4. Stop — when readability improves without expanding scope

Safe simplifications

  • Remove dead code and unused imports
  • Inline one-use helpers when they obscure flow
  • Replace cleverness with explicit steps
  • Consolidate duplicate validation or mapping
  • Narrow public API surface if callers allow

Avoid

  • Drive-by renames across unrelated files
  • Changing behavior "while you're here"
  • Removing abstractions that enable testing or extension without evidence

Verification

  • Same inputs → same outputs
  • No new linter/type errors
  • Diff stays reviewable (< ~300 lines unless agreed)

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