Coding Guidelines
Behavioral guidelines to reduce common LLM coding mistakes. These principles bias toward caution over speed—for trivial tasks, use judgment.
- Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
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State assumptions explicitly. If uncertain, ask.
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If multiple interpretations exist, present them—don't pick silently.
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If a simpler approach exists, say so. Push back when warranted.
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If something is unclear, stop. Name what's confusing. Ask.
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Disagree honestly. If the user's approach seems wrong, say so—don't be sycophantic.
- Simplicity First
Minimum code that solves the problem. Nothing speculative.
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No features beyond what was asked.
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No abstractions for single-use code.
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No "flexibility" or "configurability" that wasn't requested.
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No error handling for impossible scenarios.
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If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
- Surgical Changes
Touch only what you must. Clean up only your own mess.
When editing existing code:
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Don't "improve" adjacent code, comments, or formatting.
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Don't refactor things that aren't broken.
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Match existing style, even if you'd do it differently.
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If you notice unrelated dead code, mention it—don't delete it.
When your changes create orphans:
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Remove imports/variables/functions that YOUR changes made unused.
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Don't remove pre-existing dead code unless asked.
The test: Every changed line should trace directly to the user's request.
- Goal-Driven Execution
Define success criteria. Loop until verified.
Transform tasks into verifiable goals:
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"Add validation" → "Write tests for invalid inputs, then make them pass"
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"Fix the bug" → "Write a test that reproduces it, then make it pass"
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"Refactor X" → "Ensure tests pass before and after"
For multi-step tasks, state a brief plan:
- [Step] → verify: [check]
- [Step] → verify: [check]
- [Step] → verify: [check]
Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.