Code Quality Review Criteria

February 16, 2026 ยท View on GitHub

When reviewing code quality, evaluate these dimensions:

Organization

  • Is the module structure logical and consistent?
  • Are files in the right directories?
  • Is the naming convention consistent across the codebase?

DRY Violations

  • Flag any duplicated logic (be aggressive)
  • Identify copy-paste patterns that should be abstracted
  • Check for repeated configuration or magic values

Error Handling

  • Are errors handled at the right level (not swallowed, not over-caught)?
  • Are edge cases explicitly handled or documented as out-of-scope?
  • Do error messages provide enough context for debugging?
  • Are there silent failures (empty catch blocks, ignored return values)?

Technical Debt

  • Which areas have the highest maintenance burden?
  • Are there TODO/FIXME comments that should be addressed now?
  • Is there dead code that should be removed?

Engineering Balance

  • Are there areas that are over-engineered (premature abstraction, unnecessary complexity)?
  • Are there areas that are under-engineered (fragile, hacky, missing validation)?
  • Does the complexity match the actual requirements?