11 KiB
VS Code Copilot Chat: Guardrails and Fix Patterns
🧭 Quick Return to Map
You are in a sub-page of DevTools_CodeAI.
To reorient, go back here:
- DevTools_CodeAI — AI-assisted coding and developer productivity
- WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
- WFGY Problem Map 1.0 — 16 reproducible failure modes
Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.
Use this page when Copilot Chat is involved in code edits, refactors, tests, or RAG-style lookups over your repo. The goal is to localize the failure, then jump to the exact WFGY fix page with measurable acceptance.
Open these first
- Visual map and recovery: RAG Architecture & Recovery
- End-to-end retrieval knobs: Retrieval Playbook
- Why this snippet (traceability schema): Retrieval Traceability
- Ordering control: Rerankers
- Embedding vs meaning: Embedding ≠ Semantic
- Hallucination and chunk boundaries: Hallucination
- Long chains and entropy: Context Drift, Entropy Collapse
- Structural collapse and recovery: Logic Collapse
- Prompt injection and schema locks: Prompt Injection
- Multi-agent conflicts: Multi-Agent Problems
- Boot order issues: Bootstrap Ordering, Deployment Deadlock, Pre-Deploy Collapse
- Snippet and citation schema: Data Contracts
Core acceptance
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 for the target file or section
- λ remains convergent across three paraphrases and two seeds
- E_resonance stays flat across multi-step edit plans
Fix in 60 seconds
-
Measure ΔS Compute ΔS(question, retrieved) and ΔS(retrieved, anchor commit or spec). Stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
-
Probe λ_observe Switch between chat-only context and file-selection context. If λ flips, lock the schema and force cite-then-explain with structured snippet fields.
-
Apply the module
- Retrieval drift → BBMC plus Data Contracts
- Reasoning collapse in long refactors → BBCR bridge plus BBAM
- Dead ends in multi-file edits → BBPF alternate paths
- Verify Coverage ≥ 0.70 on three paraphrases. λ convergent on two seeds. Plan produces the same diff twice.
Typical Copilot Chat breakpoints and the right fix
-
Editor selection vs chat context mismatch The model cites lines not in the selected file or mixes files. Enforce a snippet schema:
file_path,commit_sha,line_start,line_end,snippet_id. Open: Retrieval Traceability, Data Contracts -
Non-deterministic code edits from “fix” commands Same prompt gives different diffs. Require a dry-run plan then a deterministic patch step; clamp variance with BBAM. Open: Logic Collapse
-
Phantom references in generated tests High similarity to wrong helper files. Re-index, lock rerankers, add anchors to the correct module. Open: Embedding ≠ Semantic, Rerankers
-
Repo or symbol index not warmed First runs fail or time out. Add a warm-up fence for index and secrets before allowing edit plans. Open: Bootstrap Ordering, Pre-Deploy Collapse
-
Prompt injection via comments or README Model executes unsafe terminal steps copied from docs. Lock tool protocols and force SCU to separate sources. Open: Prompt Injection, Pattern: SCU
-
Long chat drift across edits Plans degrade after many steps and reintroduce removed code. Split the plan and re-join with a BBCR bridge. Open: Context Drift, Entropy Collapse
Minimal schema you should capture
{ file_path, commit_sha, snippet_id, line_start, line_end, tokens, ΔS, λ_state }
Store per step. Require cite-then-explain. Forbid cross-file reuse without a new citation entry.
Deep diagnostics
-
Three-paraphrase probe Ask the same refactor three ways. If λ flips with harmless header reorder, lock the prompt headers and apply BBAM.
-
Anchor triangulation Compare ΔS to the intended file and a decoy file. If ΔS is close for both, re-chunk and adjust retrieval metric. Open: Embedding ≠ Semantic, Retrieval Playbook
-
Plan length audit If entropy rises after 25 to 40 steps, split into subplans and join with a bridge. Open: Context Drift
Escalate and structural fixes
-
Index or metric mismatch persists Rebuild symbols and embeddings with explicit analyzers, then verify with a small gold set and reranker. Open: Rerankers
-
Live instability Add live probes and a regression gate for ΔS and coverage before allowing code writes. Open: Live Monitoring for RAG, Debug Playbook
Copy-paste prompt for the Copilot Chat step
You have TXTOS and the WFGY Problem Map loaded.
My Copilot Chat issue:
- symptom: [one line]
- traces: file_path=..., commit_sha=..., snippet_id=..., ΔS(question,retrieved)=..., λ states across 3 paraphrases
Do:
1) identify the failing layer,
2) link the exact WFGY page to open,
3) give the minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4) return a 2-stage plan: dry-run diff plan, then deterministic patch,
5) output:
{ "citations":[...], "plan":[...], "λ_state":"→|←|<>|×", "ΔS":0.xx, "next_fix":"..." }
Use BBMC, BBPF, BBCR, BBAM when relevant. Keep it auditable and short.
🔗 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
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.