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OpenTelemetry for LLMs: Trace Prompt Latency Across Microservices
Posted inAI AWS Debugging

OpenTelemetry for LLMs: Trace Prompt Latency Across Microservices

A senior-engineer guide to OpenTelemetry for LLMs, with production-ready patterns, trade-offs, and practical examples.
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LLM Cost Controls: Token Budgets Per PR and Per Engineer
Posted inAI AWS

LLM Cost Controls on Bedrock: Token Budgets per PR and per Engineer

Token budgets per PR and per engineer on Amazon Bedrock: attribution with requestMetadata and inference profile tags, reserve/settle enforcement, EMF metrics, Budgets actions.
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AppSync With Bedrock: GraphQL Resolvers That Call Tools Safely
Posted inAI AWS

Appsync Bedrock: GraphQL Resolvers That Call Tools Safely

A senior-engineer guide to AppSync Bedrock, with production-ready patterns, trade-offs, and practical examples.
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Bedrock Batch Inference: Overnight Refactor Diffs Across Large Repos
Posted inAI AWS

Bedrock Batch Inference for Overnight Refactors: Shard, Run, Validate and Apply in Daytime PRs

Overnight repo refactors with Bedrock batch inference: package shards, Converse-format JSONL, job IAM, result parsing, offline validation and daytime stacked PRs.
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SageMaker JumpStart vs Bedrock: When Fine-Tunes Beat Prompting
Posted inAI AWS Machine Learning

SageMaker JumpStart vs Bedrock: When Fine-Tuning Beats Prompting and RAG for Coding Assistants

SageMaker JumpStart vs Amazon Bedrock fine-tuning for coding assistants: decision gate, SFT vs RAG, Bedrock-conversation-2024 data, Nova hyperparameters, on-demand deployment and evaluation.
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Bedrock Guardrails: Block Prompt Injection Inside Internal Dev Tools
Posted inAI AWS

Amazon Bedrock Guardrails: Block Prompt Injection Inside Internal Dev Tools

A senior-engineer guide to Amazon Bedrock Guardrails, with production-ready patterns, trade-offs, and practical examples.
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Bedrock Knowledge Bases: Chunking Strategies That Fit Code RAG
Posted inAI AWS Machine Learning

Bedrock Knowledge Bases Chunking Strategies That Fit Code RAG

Bedrock Knowledge Bases chunking for code RAG: prefer AST-aware symbol chunks, metadata filters, and hit-rate@k evals over fixed 300-token windows that shred functions mid-signature.
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Amazon Q Developer: Custom Context Packs for Private Monorepos
Posted inAI AWS

Amazon Q Developer: Custom Context Packs for Private Monorepos

A senior-engineer guide to Amazon Q Developer, with production-ready patterns, trade-offs, and practical examples.
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Codebase Embeddings: Refresh Pipelines When Git SHAs Keep Moving
Posted inAI AWS Machine Learning

Codebase Embeddings: Refresh Pipelines When Git SHAs Keep Moving

A senior-engineer guide to codebase embeddings, with production-ready patterns, trade-offs, and practical examples.
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RAG Evaluation on AWS: Hit Rate, Faithfulness, and Cost Curves
Posted inAI AWS Machine Learning

Rag Evaluation Aws: Hit Rate, Faithfulness, and Cost Curves

A senior-engineer guide to RAG evaluation AWS, with production-ready patterns, trade-offs, and practical examples.
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