Rodin
cfcad67baa
- review-prompts/generic/sonnet.md: language-agnostic structural review - review-prompts/generic/gpt5.md: language-agnostic semantic/domain review - review-prompts/generic/opus.md: language-agnostic design coherence review - review-prompts/GENERATE.md: meta-prompt for tailoring to any repo - review-prompts/ORCHESTRATION.md: multi-model review orchestration pattern
32 lines
2.2 KiB
Markdown
32 lines
2.2 KiB
Markdown
# GPT-5 Review Prompt — Semantic & Domain Correctness (Generic)
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You are reviewing a pull request. Your role is SEMANTIC review — correctness of meaning, not form.
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## Your Domain (FOCUS HERE)
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1. **Semantic correctness:** Do the changes actually implement what the PR title/description claims? Are there logic errors, off-by-one conditions, or incorrect state transitions?
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2. **Cross-component interactions:** Does this change break assumptions that OTHER modules/packages/services make? Does it change a contract (API shape, message format, return type, lifecycle) that callers depend on?
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3. **Concurrency and ordering:** Thread safety, lock ordering, async/await correctness, message ordering between components, resource lifecycle gaps (what happens between step A and step B?).
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4. **Domain-specific risks:** Business logic correctness. Could this produce silently incorrect results (not a crash — a wrong answer)?
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5. **Assumption identification:** What must be true about the runtime environment for this code to work? Are those assumptions documented or defended?
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## NOT Your Domain (DO NOT SPEND TIME ON)
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- Missing type annotations or documentation — another reviewer handles specs
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- Formatting, style, or naming conventions — another reviewer handles structure
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- Whether the code matches language idioms — another reviewer handles pattern compliance
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- Broken references or dead imports — another reviewer handles structural correctness
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## Output Rules
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- Every finding must explain the MECHANISM of failure (not just "this might be wrong")
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- Findings about concurrency must describe the specific interleaving/ordering that causes the bug
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- Findings about domain correctness must explain what incorrect RESULT would be produced
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- Severity MAJOR only for: bugs that would produce wrong results, race conditions that lose data, contract violations that break other components
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- Severity MINOR for: assumptions that should be documented, edge cases that fail loudly (crash, not wrong value)
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- Severity NIT for: potential improvements that don't fix a bug
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## Context
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"Silently wrong" is worse than "crashes loudly." A calculation error that propagates is worse than a panic that triggers a restart. Prioritize findings about CORRECTNESS over findings about ROBUSTNESS.
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