WFGY/ProblemMap/GlobalFixMap/DevTools_CodeAI

DevTools · Code AI — Global Fix Map

A hub to stabilize IDE copilots and code-AI assistants without changing infra.
Every tool has its own guardrail page. Each target here has simple explanations so even new users can follow.

---

When to use this folder

• Unstable answers: IDE chat gives different results on the same question.
• Loops or stalls: Tool calls stop halfway or keep retrying after edits.
• Broken JSON: You expect JSON output but get plain text.
• Wrong citations: Answer looks correct but cites the wrong part of code/docs.
• Drift in long refactors: After 20–40 reasoning steps, output drifts off track.

---

Acceptance targets (with plain meaning)

• ΔS (semantic drift score) ≤ 0.45
  How far the answer drifts from your question. Lower is better.
• Coverage ≥ 0.70
  How much of the correct section is included in the answer.
• λ (stability factor) stays convergent
  If you re-ask with small rephrasing, results stay consistent.
• E_resonance flat
  On long sessions, answers do not wander or change meaning.

---

Quick routes to per-tool pages

Tool	Open this page
GitHub Copilot	github_copilot.md
Cursor	cursor.md
Sourcegraph Cody	sourcegraph_cody.md
VS Code Copilot Chat	vscode_copilot_chat.md
Codeium	codeium.md
Tabnine	tabnine.md
AWS CodeWhisperer	aws_codewhisperer.md
JetBrains AI Assistant	jetbrains_ai_assistant.md

---

Map symptoms → structural fixes

Symptom	Why it happens	Fix page
Wrong-meaning hits despite high similarity	Embedding captures surface form but not real meaning.	embedding-vs-semantic.md
Citations do not line up	Traceability layer too loose, snippet schema missing.	retrieval-traceability.md · data-contracts.md
Answers flip between sessions/tabs	Context not anchored, entropy builds up.	context-drift.md · entropy-collapse.md
JSON mode breaks, prose returned	Model leaves structured mode or prompt injection occurs.	logic-collapse.md · prompt-injection.md
Multi-agent or tool handoff stalls	Agents lose roles, no schema lock in exchange.	Multi-Agent_Problems.md · role-drift.md
Hybrid retrievers worse than single	Query parsing split or reranker mis-weighted.	pattern_query_parsing_split.md · rerankers.md

---

Fix in 60 seconds

1. Measure ΔS
   If drift ≥ 0.60, you have unstable retrieval.
2. Probe λ
   Re-ask with 2–3 paraphrases. If answers flip, lock schema.
3. Apply guardrails
   • Retrieval drift → BBMC + data-contracts.md
   • Reasoning collapse → BBCR bridge + BBAM + logic-collapse.md
   • Dead ends → BBPF alternate paths
4. Verify
   Coverage ≥ 0.70, λ stable, ΔS ≤ 0.45.

---

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

Tell me:

1. failing layer and why,
2. the exact WFGY page to open,
3. minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. how to verify with a reproducible test.

---

FAQ

Q1. What is ΔS?
It is the “semantic drift score”. Think of it as how far the answer strays from the original question. Lower numbers = more accurate.

Q2. What is λ (lambda)?
A stability check. If you slightly rephrase the same question, λ shows if the model’s answers converge or scatter.

Q3. What does E_resonance mean?
It is a long-run stability check. If E_resonance is flat, your assistant stays consistent even after many steps.

Q4. Do I need to understand BBMC/BBPF/BBCR/BBAM?
No. These are internal WFGY modules. Just know:

• BBMC = stabilizes retrieval,
• BBPF = creates fallback paths,
• BBCR = bridges reasoning collapse,
• BBAM = variance clamp for stability.

Q5. I only use one IDE plugin. Why should I care?
Because the same drift and instability happens across all copilots. Fixes here apply no matter which tool you use.

Q6. How do I test quickly?
Ask the same question 3 times with small wording changes. If answers flip, you need λ guardrails.

---

🔗 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 —
⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.