code-review-pipeline
SolidMulti-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.
Code & Development 814 stars
53 forks Updated today MIT
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Quality Score: 93/100
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# Code Review Pipeline
## Overview
Multi-dimensional code review methodology adapted from the Everything Claude Code project. Reviews across 4 dimensions with confidence-gated issue reporting and automated remediation loops.
## Review Dimensions
### Dimension 1: Correctness
- Logic errors and off-by-one mistakes
- Edge case handling (null, undefined, empty, boundary)
- Type safety (no implicit any, proper narrowing)
- Error handling completeness
- Floating promise detection
- Race condition analysis
### Dimension 2: Security
- Injection vectors (SQL, XSS, command, template)
- Authentication and authorization gaps
- Data exposure (PII, credentials, internal state)
- Dependency vulnerabilities (known CVEs)
- Input validation completeness
### Dimension 3: Performance
- Algorithmic complexity (O(n^2) detection)
- Memory leaks (event listeners, closures, caches)
- Unnecessary allocations in hot paths
- Database query optimization (N+1, missing indexes)
- Bundle size impact
### Dimension 4: Maintainability
- Naming clarity and consistency
- Documentation completeness (JSDoc, inline comments)
- Test coverage adequacy
- Coupling analysis (afferent/efferent)
- File organization compliance
## Confidence Gating
- Score each issue 0-100 on confidence
- Only report issues >= 80% confidence
- Prevents false positive noise
- Higher confidence for clear patterns, lower for heuristic matches
## Remediation Loop
- Prioritize: critical > high > medium > low
- Apply fixes via refactor-c...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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