skills/ahonn/dotfiles/code-quality

code-quality

Installation
SKILL.md

Programming Philosophy and Quality Standards

Core Philosophy

  • Code is primarily written for humans to read and maintain; machine execution is a by-product
  • Priority: Readability & Maintainability > Correctness > Performance > Code length
  • Follow idiomatic practices of each language community

Complexity Management

Complexity = Dependencies + Obscurity

Symptoms to Watch For

Symptom Description
Change Amplification Small changes require modifications in many places
Cognitive Load Developers need excessive information to complete tasks
Unknown Unknowns Unclear what code needs modification (worst symptom)

Mitigation Strategies

  • "Zero tolerance" for incremental complexity growth
  • Invest time upfront in design
  • Avoid tactical shortcuts that create technical debt

Modular Design Principles

  • Deep Modules: Powerful functionality through simple interfaces
  • Information Hiding: Encapsulate design decisions within implementations
  • General-Purpose Design: Combat over-specialization
  • Avoid "Classitis": More classes/components ≠ better design

Code Smells to Watch For

Proactively identify and flag:

  • Duplicated logic / copy-paste code
  • Over-tight coupling or circular dependencies
  • Fragile designs where one change breaks unrelated parts
  • Unclear intent, confused abstractions, vague naming
  • Over-engineering without real benefit

When identifying code smells:

  • Explain the problem concisely
  • Provide 1–2 refactoring directions with pros/cons

Error Handling Strategy

  • Define errors out of existence — design APIs with no exceptions when possible
  • Mask exceptions at low levels to protect higher layers
  • Aggregate exceptions with general-purpose handlers
  • Just crash for rare, unrecoverable errors

Comment Standards

  • Self-documenting code first — improve naming and structure before adding comments
  • WHY over WHAT — comments explain intent and reasoning, not mechanics
  • Reduce cognitive load — make implicit knowledge explicit
  • Zero redundancy — never restate what code already expresses

DO comment: design decisions/trade-offs, non-obvious behavior, interface contracts, gotchas/edge cases, cross-module dependencies

DON'T comment: self-evident code, well-named variables/functions, standard patterns, implementation details visible in code

When modifying code:

  1. Remove comments that restate what code does
  2. Keep comments that explain WHY
  3. Add comments only for non-obvious behavior or design decisions
  4. Update stale comments when code changes invalidate them
  5. Never add comments just to fill space or appear thorough
Weekly Installs
11
Repository
ahonn/dotfiles
GitHub Stars
61
First Seen
Feb 28, 2026