# AWS CodeWhisperer: Guardrails and Fix Patterns
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> You are in a sub-page of **DevTools_CodeAI**. > To reorient, go back here: > > - [**DevTools_CodeAI** — AI-assisted coding and developer productivity](./README.md) > - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md) > - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md) > > 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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) * End-to-end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) * Why this snippet, not another: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) * Ordering control for top-k: [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) * Embedding vs meaning drift: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) * Long dialogs and chain fatigue: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) * Prompt injection and schema locks: [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md) * Multi-agent conflicts and handoffs: [Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md) * Cold boot and deploy ordering: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) * Snippet and citation schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) ## 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 --- ## 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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) * **IDE chat cites the wrong file or wrong snippet** after retrieval. Lock the snippet contract and require cite-then-explain. Open: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) * **High similarity yet wrong answer** when CodeWhisperer consults docs. Suspect metric or index mismatch, or fragmented store. Open: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md) * **Hybrid retrieval gets worse** than single retriever in chat plans. Stabilize query split and lock reranking deterministically. Open: [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md), [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) * **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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md) * **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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md) --- ## 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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) Reasoning collapse → BBCR bridge + BBAM, then verify with [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md) 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. --- ## IDE checklist for stable runs * **Warm-up fence** before chat or retrieval. Confirm `INDEX_HASH`, `VECTOR_READY`, and current credentials. See: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) * **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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md) --- ## 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. ``` --- ## 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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) * Answers flip between identical runs in the same IDE session Investigate memory and version skew. Open: [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) --- ### 🔗 Quick-Start Downloads (60 sec) | Tool | Link | 3-Step Setup | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- | | **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” | | **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/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](/recognition/README.md) | External citations, integrations, and ecosystem proof | | Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine | | Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents | | Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set | | Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map | | Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline | | Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer | | Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix | | Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 | | Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers | | App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot | | App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS | | App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control | | App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo | If this repository helped, starring it improves discovery so more builders can find the docs and tools. 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