feat(pr-review): Add learnings from PR #1699 - custom libraries and framework features#1765
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claude[bot] wants to merge 1 commit intomainfrom
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feat(pr-review): Add learnings from PR #1699 - custom libraries and framework features#1765claude[bot] wants to merge 1 commit intomainfrom
claude[bot] wants to merge 1 commit intomainfrom
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…ramework features
Improvements based on human reviewer insights that bots missed:
1. **Custom implementations vs standard libraries** (pr-review-standards)
- Added detection for custom implementations of standard functionality
- Provides heuristics for when to suggest well-maintained libraries
- Reduces maintenance burden and catches incomplete implementations
- Example: Custom jsonSchemaToZod missed 'required' field handling
2. **Framework compiler feature validation** (pr-review-frontend)
- Added validation for framework compiler directives before flagging as invalid
- Checks package.json for compiler plugins (babel-plugin-react-compiler)
- Reduces false positives on valid React Compiler directives ('use memo')
- Includes framework feature database for React, Next.js, Vue
Key learnings:
- Bots excel at syntactic correctness but miss semantic correctness
- Human reviewers caught: spec violations, library alternatives, emerging features
- Standard libraries handle edge cases custom implementations miss
Source: PR #1699 analysis
Reviewers: Sarah (validation semantics), Dima (root cause), Miles (structure)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Closing - output was too verbose. Re-running with updated agent that enforces compact format. |
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Summary
Improvements to PR review agents based on human reviewer insights from PR #1699 that automated bots completely missed.
Changes
1. Custom Implementations vs Standard Libraries (
pr-review-standards)What humans caught:
jsonSchemaToZodfunction was missing critical functionality (handlingrequiredfield)Bot behavior:
Improvement added:
Applies to:
2. Framework Compiler Feature Validation (
pr-review-frontend)What humans caught:
Bot behavior:
Improvement added:
Applies to:
Supporting Documentation
Created comprehensive learning document:
Key Insight
Bots excel at syntactic correctness but miss semantic correctness and implementation choices.
Human reviewers reason about:
Bots focus on:
Testing Recommendations
Verify reduced false positives:
Verify increased valuable findings:
Cross-validation:
Source
PR #1699: #1699
Analysis: Applied 4-criteria generalizability test. Patterns P3 (custom vs library) and P4 (framework features) passed all criteria. Patterns P1 (schema semantics) and P2 (behavioral correctness) were too complex or context-dependent for automation.
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