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DevTools: Code AI — Global Fix Map

A small hub to stabilize IDE code assistants without touching your infra. Use this to jump to the right per-tool page, then verify fixes with measurable targets.

Quick routes (per tool)

When to use this folder

  • IDE plugins misalign during RAG integration: results show high similarity but the semantics are wrong.
  • JSON tools return inconsistently: objects fluctuate between valid and broken.
  • Multi-step generation runs too long, and answers flip across different executions.
  • Local fragments are correctly selected, but citations dont match the actual paragraphs.
  • After multiple agents hand over tasks, memory namespaces conflict or overwrite each other.

Open these first

Acceptance targets

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

60-second fix checklist

  1. Measure ΔS
    Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor). Stable < 0.40, transitional 0.400.60, risk ≥ 0.60.

  2. Probe λ_observe
    Vary top-k and prompt headers. If λ flips, lock the schema and clamp with BBAM.

  3. Apply the module

  • Retrieval drift → BBMC + Data Contracts
  • Reasoning collapse → BBCR bridge + BBAM
  • Dead ends in long runs → BBPF alternate paths
  1. Verify
    Coverage ≥ 0.70 on three paraphrases. λ convergent on two seeds.

Map symptoms → structural fixes

Copy-paste prompt for IDE chat


I uploaded TXT OS and WFGY Problem Map.
My IDE assistant issue:

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

Tell me:

1. failing layer and why,
2. which WFGY page to open,
3. minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. a reproducible test to verify.
   Use BBMC, BBPF, BBCR, BBAM when relevant.


🔗 Quick-Start Downloads (60 sec)

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