WFGY/ProblemMap/GlobalFixMap/DevTools_CodeAI/README.md
2025-08-28 14:01:36 +08:00

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DevTools · Code AI — Global Fix Map

A hub to stabilize IDE copilots and code-AI assistants without changing infra.
Use this to jump to per-tool guardrails and verify fixes with the same acceptance targets.

When to use this folder

  • IDE chat answers flip between runs or tabs.
  • Tool calls loop or stall after partial edits.
  • JSON blocks fail or come back as prose.
  • RAG answers look right by similarity yet cite the wrong place.
  • Long refactors drift after 20–40 reasoning steps.

Acceptance targets

  • ΔS(question, retrieved) ≤ 0.45
  • Coverage of target section ≥ 0.70
  • λ stays convergent across 3 paraphrases and 2 seeds
  • E_resonance flat on long windows

Quick routes to per-tool pages

Map symptoms → structural fixes

Fix in 60 seconds

  1. Measure ΔS
    Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
    Stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.

  2. Probe λ_observe
    Vary k and headers. If λ flips, lock schema and apply BBAM variance clamp.

  3. Apply modules
    Retrieval drift → BBMC + data-contracts.md
    Reasoning collapse → BBCR bridge + BBAM + logic-collapse.md
    Long-run dead ends → BBPF alternate paths

  4. Verify
    Coverage ≥ 0.70 on 3 paraphrases. λ convergent on 2 seeds.

Copy-paste prompt for IDE chat


I loaded TXT OS and the WFGY Problem Map.

My code-AI issue:

* symptom: \[one line]
* traces: ΔS(question,retrieved)=..., ΔS(retrieved,anchor)=..., λ states across 3 paraphrases

Tell me:

1. failing layer and why,
2. the exact WFGY page to open from this repo,
3. minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. how to verify with a reproducible test.
   Use BBMC/BBPF/BBCR/BBAM where relevant.

🔗 Quick-Start Downloads (60 sec)

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS) TXTOS.txt 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module Description Link
WFGY Core WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack View →
Problem Map 1.0 Initial 16-mode diagnostic and symbolic fix framework View →
Problem Map 2.0 RAG-focused failure tree, modular fixes, and pipelines View →
Semantic Clinic Index Expanded failure catalog: prompt injection, memory bugs, logic drift View →
Semantic Blueprint Layer-based symbolic reasoning & semantic modulations View →
Benchmark vs GPT-5 Stress test GPT-5 with full WFGY reasoning suite View →
🧙‍♂️ Starter Village 🏡 New here? Lost in symbols? Click here and let the wizard guide you through Start →

👑 Early Stargazers: See the Hall of Fame —
GitHub stars ⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.

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