add CodeHealth AI — adaptive codebase analysis workflow - #92
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7-phase AI-DLC-grounded workflow for comprehensive repository analysis: - Phase 1: Discovery (repo pull, tech stack detection) - Phase 2: Dependency Analysis (CVEs, freshness, licenses) - Phase 3: Database & SQL Optimization (N+1, indexes, query rewriting) - Phase 4: Code Quality (complexity, anti-patterns, dead code, perf) - Phase 5: API & Contracts (design review, breaking changes, resilience) - Phase 6: Infrastructure (secrets, IaC, Docker, CI/CD) - Phase 7: Optimization (unified roadmap with priority matrix) Supports: Python, TypeScript, Java, Go, Rust, Ruby, PHP + 30 frameworks Works with: Kiro IDE, Claude Code, Amazon Q Developer Grounded in: github.com/awslabs/aidlc-workflows
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7-phase workflow for comprehensive repository analysis:
Supports: Python, TypeScript, Java, Go, Rust, Ruby, PHP + 30 frameworks
Works with: Kiro IDE, Claude Code, Amazon Q Developer
Grounded in: github.com/awslabs/aidlc-workflows
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