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177 lines
10 KiB
Markdown
177 lines
10 KiB
Markdown
# AWS CodeWhisperer: Guardrails and Fix Patterns
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **DevTools_CodeAI**.
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> To reorient, go back here:
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>
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> - [**DevTools_CodeAI** — AI-assisted coding and developer productivity](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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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.
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## Open these first
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* Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* End-to-end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Why this snippet, not another: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Ordering control for top-k: [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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* Embedding vs meaning drift: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* 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)
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* Prompt injection and schema locks: [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
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* Multi-agent conflicts and handoffs: [Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md)
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* 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)
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* Snippet and citation schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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## Core acceptance
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* ΔS(question, retrieved) ≤ 0.45
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* Coverage ≥ 0.70 to the correct section
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* λ remains convergent across three paraphrases and two seeds
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* E\_resonance flat across the dialog window
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---
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## Typical CodeWhisperer breakpoints → exact fix
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* **Region or account skew** between your IDE plugin, credentials, and model endpoint.
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Verify region and identity consistently. If first call in a fresh boot fails, fix ordering.
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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)
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* **IDE chat cites the wrong file or wrong snippet** after retrieval.
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Lock the snippet contract and require cite-then-explain.
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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)
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* **High similarity yet wrong answer** when CodeWhisperer consults docs.
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Suspect metric or index mismatch, or fragmented store.
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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)
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* **Hybrid retrieval gets worse** than single retriever in chat plans.
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Stabilize query split and lock reranking deterministically.
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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)
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* **Tool loop or agent handoff stalls** when chat triggers build, test, or docs tools.
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Split memory namespaces, apply timeouts, and fence writes by `mem_rev` and `mem_hash`.
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Open: [Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md)
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* **Security or policy blocks** cause silent fallbacks that change outputs.
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Make refusal paths explicit and keep the schema locked to avoid hidden branches.
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Open: [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
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---
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## Fix in 60 seconds
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1. **Measure ΔS**
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Compute ΔS(question, retrieved) and ΔS(retrieved, anchor section).
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Stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
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2. **Probe λ\_observe**
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Re-order headers minimally and vary k as 5, 10, 20.
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If ΔS stays flat and high, rebuild metric and normalize.
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If λ flips on harmless paraphrase, clamp with BBAM.
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3. **Apply the module**
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Retrieval drift → BBMC + [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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Reasoning collapse → BBCR bridge + BBAM, then verify with [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
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Dead ends in long chains → BBPF alternate paths
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4. **Verify**
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Coverage ≥ 0.70 on three paraphrases.
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λ convergent on two seeds.
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E\_resonance flat over ten-step dialogs.
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---
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## IDE checklist for stable runs
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* **Warm-up fence** before chat or retrieval. Confirm `INDEX_HASH`, `VECTOR_READY`, and current credentials.
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See: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
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* **Idempotency** for any write step triggered by chat tools.
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Compute `dedupe_key = sha256(source_id + revision + index_hash)` and drop duplicates.
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* **Cite-then-explain** as a hard rule in the prompt template.
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Forbid cross-section reuse unless explicitly allowed by contract.
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* **Observability probes** inside the IDE task.
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Log ΔS and λ states for retrieve, assemble, reason.
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Alert when ΔS ≥ 0.60 or λ turns divergent.
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* **Regression gate** before you trust the session.
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See: [RAG Precision/Recall](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md)
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---
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## Copy-paste prompt for CodeWhisperer Chat
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```
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You have TXTOS and the WFGY Problem Map loaded.
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My task:
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- symptom: [one line]
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- traces: ΔS(question,retrieved)=..., ΔS(retrieved,anchor)=..., λ states across 3 paraphrases
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Do:
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1) identify which layer fails and why,
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2) point me to the exact WFGY page,
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3) give minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
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4) return a short JSON plan with {citations, steps, ΔS, λ_state, next_fix}.
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Use BBMC, BBPF, BBCR, BBAM when relevant. Enforce cite-then-explain.
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```
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---
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## When to escalate
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* ΔS stays ≥ 0.60 after chunking and metric fixes
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Rebuild with the semantic chunking checklist and verify on a small gold set.
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Open: [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
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* Answers flip between identical runs in the same IDE session
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Investigate memory and version skew.
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Open: [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **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 + \<your question>” |
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| **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 |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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