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AI PR Reviewers: Diff-Scoped Context Windows That Catch Real Bugs
Posted inAI

Llm Context Window Engineering: Diff-Scoped Context Windows That Catch Real Bugs

A senior-engineer guide to LLM context window engineering, with production-ready patterns, trade-offs, and practical examples.
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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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AI Test Generation: Property Tests That Catch Race Conditions
Posted inAI Node.js

AI Test Generation: Property Tests That Catch Race Conditions

A senior-engineer guide to AI test generation, with production-ready patterns, trade-offs, and practical examples.
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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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Claude Code Hooks: Gate Risky Shell Commands Before CI Runs
Posted inAI

Claude Code Workflow: Gate Risky Shell Commands Before CI Runs

A senior-engineer guide to Claude Code workflow, with production-ready patterns, trade-offs, and practical examples.
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Multi-Model Routing: Cheap Draft Models Plus Expensive Verifiers
Posted inAI

Llm Model Routing: Cheap Draft Models Plus Expensive Verifiers

A senior-engineer guide to LLM model routing, 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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