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    ahonn

    code-quality

    ahonn/code-quality
    Coding
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    About

    SKILL.md

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    About

    Code quality standards. Defines complexity management, modular design, code smell detection. Applied automatically when writing or reviewing code.

    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
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