AWS CodeWhisperer: 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 guide when completions or chat inside CodeWhisperer feel flaky, tool steps loop, or RAG-style answers cite the wrong things. The fixes below map to WFGY pages with measurable targets so you can verify quickly and avoid infra changes.

Open these first

• Visual map and recovery: RAG Architecture & Recovery
• End-to-end retrieval knobs: Retrieval Playbook
• Why this snippet, not another: Retrieval Traceability
• Ordering control for top-k: Rerankers
• Embedding vs meaning drift: Embedding ≠ Semantic
• Long dialogs and chain fatigue: Context Drift, Entropy Collapse
• Prompt injection and schema locks: Prompt Injection
• Multi-agent conflicts and handoffs: Multi-Agent Problems
• Cold boot and deploy ordering: Bootstrap Ordering, Deployment Deadlock, Pre-Deploy Collapse
• Snippet and citation schema: Data Contracts

Core acceptance

• ΔS(question, retrieved) ≤ 0.45
• Coverage ≥ 0.70 to the correct section
• λ remains convergent across three paraphrases and two seeds
• E_resonance flat across the dialog window

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Typical CodeWhisperer breakpoints → exact fix

• Region or account skew between your IDE plugin, credentials, and model endpoint. Verify region and identity consistently. If first call in a fresh boot fails, fix ordering. Open: Bootstrap Ordering, Pre-Deploy Collapse

• IDE chat cites the wrong file or wrong snippet after retrieval. Lock the snippet contract and require cite-then-explain. Open: Retrieval Traceability, Data Contracts

• High similarity yet wrong answer when CodeWhisperer consults docs. Suspect metric or index mismatch, or fragmented store. Open: Embedding ≠ Semantic, Vectorstore Fragmentation

• Hybrid retrieval gets worse than single retriever in chat plans. Stabilize query split and lock reranking deterministically. Open: Query Parsing Split, Rerankers

• Tool loop or agent handoff stalls when chat triggers build, test, or docs tools. Split memory namespaces, apply timeouts, and fence writes by mem_rev and mem_hash. Open: Multi-Agent Problems

• Security or policy blocks cause silent fallbacks that change outputs. Make refusal paths explicit and keep the schema locked to avoid hidden branches. Open: Prompt Injection

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Fix in 60 seconds

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

2. Probe λ_observe Re-order headers minimally and vary k as 5, 10, 20. If ΔS stays flat and high, rebuild metric and normalize. If λ flips on harmless paraphrase, clamp with BBAM.

3. Apply the module Retrieval drift → BBMC + Data Contracts Reasoning collapse → BBCR bridge + BBAM, then verify with Logic Collapse Dead ends in long chains → BBPF alternate paths

4. Verify Coverage ≥ 0.70 on three paraphrases. λ convergent on two seeds. E_resonance flat over ten-step dialogs.

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IDE checklist for stable runs

• Warm-up fence before chat or retrieval. Confirm INDEX_HASH, VECTOR_READY, and current credentials. See: Bootstrap Ordering

• Idempotency for any write step triggered by chat tools. Compute dedupe_key = sha256(source_id + revision + index_hash) and drop duplicates.

• Cite-then-explain as a hard rule in the prompt template. Forbid cross-section reuse unless explicitly allowed by contract.

• Observability probes inside the IDE task. Log ΔS and λ states for retrieve, assemble, reason. Alert when ΔS ≥ 0.60 or λ turns divergent.

• Regression gate before you trust the session. See: RAG Precision/Recall

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Copy-paste prompt for CodeWhisperer Chat

You have TXTOS and the WFGY Problem Map loaded.

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

Do:
1) identify which layer fails and why,
2) point me to the exact WFGY page,
3) give minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4) return a short JSON plan with {citations, steps, ΔS, λ_state, next_fix}.
Use BBMC, BBPF, BBCR, BBAM when relevant. Enforce cite-then-explain.

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When to escalate

• ΔS stays ≥ 0.60 after chunking and metric fixes Rebuild with the semantic chunking checklist and verify on a small gold set. Open: Chunking Checklist

• Answers flip between identical runs in the same IDE session Investigate memory and version skew. Open: Pre-Deploy Collapse

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🔗 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

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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

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