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principle-laziness-protocol

Apply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.

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Laziness Protocol

Writing code is cheap for you, which makes over-engineering easy. Counter it by borrowing a human maintainer's fatigue. Aim for the most result with the least code and complexity.

  • Prefer deletion. When asked to refactor or improve, look for removals before additions.
  • Maintain a flat call hierarchy. Avoid deep call chains. A rich interface that hides substantial work is not a deep call chain. If answering a question requires tracing through more than 3 files or layers, flatten it.
  • Consolidate decisions. Do not repeat the same choice in several places. Put it behind one source of truth and pass the result as a simple flag.
  • Minimize the diff. Make the smallest change that solves the problem. Fewer lines beat "elegant" boilerplate.
  • Question the threading. If a task asks you to pass a new signal through types, schemas, pipelines, or similar layers, stop and look for a more direct path.
  • Sweat the small leaks. Remove tiny pass-throughs, representation leaks, and duplicated choices before they spread. Small leaks compound into permanent coordination costs.

Prime directive: If a human developer would find the code exhausting to maintain, it is a bad solution. Be lazy. Stay simple.

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