- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions, CIDR allocations, naming conventions, sync waves, tech stack from code - agent-kb.js: token-efficient JSON rendering of same doc tree - eval-confluence-ref-questions.json: 32 reference-only benchmark questions - wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%) - docs/human-ux-spec.md: BMad UX designer spec for human doc structure - Eval results: V2 at 28.7% vs confluence 77.8% baseline - Hub/spoke ownership now correctly extracted (95% on that question) - Naming conventions, regions, CIDRs surfaced in system-architecture.md
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6 lines
258 B
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🔁 Ralph Wiggum Loop (V2) — max 3 iterations, target 77%
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Benchmark: Confluence Gold Standard (/home/node/.openclaw/workspace/projects/dev-intel-v2/eval-confluence-questions.json)
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=== Iteration 1/3 ===
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📝 Running V2 pipeline with Confluence seeding...
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