Commit Graph

4 Commits

Author SHA1 Message Date
Jarvis Prime
b8403be96c feat: repo-agnostic refactor (BMad spec-test-build loop)
- NEW: repo-profiler.js — deterministic archetype detection (Infra, Frontend, Backend, etc.)
- NEW: extract-dynamic.js — generic extractor replacing hardcoded Foxtrot patterns
- NEW: eval-generator.js — dynamic ground-truth question generation from any repo graph
- NEW: specs/bmad-agnostic-refactor-spec.md — full BMad spec with acceptance criteria
- REFACTORED: prose.js — two-pass LLM synthesis with rich context (shared secrets, ports, service refs)
- REFACTORED: sysdoc.js — wired repo-profiler + extract-dynamic, --legacy escape hatch
- REFACTORED: wiggum-v2.sh — uses eval-generator before benchmarks
- FIXED: graph.js — _edgeSet rebuilt on loadSnapshot() (edge dedup was broken)
- FIXED: graph.js — recursive sortKeys() for deep equality in diffing
- FIXED: prose.js — robust JSON array extraction from LLM output
- FIXED: ratchet.js — syntax validation (node --check) before saving LLM mutations
- FIXED: extract-dynamic.js — centralized state services regex, added console.warn for silent failures
- TESTS: test-eval-generator, test-repo-profiler, test-synthesis-quality + mock fixtures

Eval: 81.5% on Foxtrot (fully repo-agnostic, no hardcoded reference pages)
BMad reviews: Architect B+, Dev Lead B-, TEA B-
2026-03-11 14:40:31 +00:00
Jarvis Prime
0265ec7a60 feat: confluence benchmark, pattern extractor, agent KB, UX spec
- 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
2026-03-10 14:20:35 +00:00
Jarvis Prime
ca11b4459a Agent eval hits 93.4% — target exceeded
- Fixed ground truth generator to merge Helm entities (matching sysdoc.js pipeline)
- Added Quick Lookup index with name-to-file mapping for agent navigation
- Enriched All Charts table with AppVersion, Dependencies, Values Keys columns
- Increased agent file read cap to 30K for full index coverage
- Tree depth 4 for chart file discovery

Score progression: 54.3% → 84.3% → 88.4% → 93.4%
NOT_FOUND: 41% → 0%
All categories above 75%, easy questions at 98.1%
2026-03-10 00:40:38 +00:00
Jarvis Prime
304f0a9e9f Phase 9c: Split eval into Agent (file-browsing) and Human (readability) tracks
Agent eval: 54.3% (22 questions, 40.9% NOT_FOUND)
Human eval: 63.9% (28 questions, 17.9% NOT_FOUND)

Key findings:
- Agent navigation is the bottleneck (2.09/5) — long path-based filenames hurt discoverability
- Human findability is decent (3.46/5) but dependency questions fail (0%) because chart docs for wrapper charts don't surface their sub-chart deps
- Both tracks show strong precision (4.4+/5) — very low hallucination
- Resources (91%) and interactions (95%) score great for humans
- Configuration and contracts are solid across both tracks
2026-03-09 23:55:54 +00:00