AI Archives - Page 21 of 21

Bedrock Converse API: Tool Choice Modes for Production Coding Agents

Bedrock Converse Tool Use for Coding Agents: toolChoice Modes and Strict JSON Tool Contracts

Bedrock Converse tool use for coding agents: toolChoice auto/any/tool, strict tool schemas, typed toolResult errors, versioned tools and a safe agent loop.

Cursor Rules for AWS CDK: Stop AI From Inventing IAM Wildcards

AI AWS

Cursor Rules Aws Cdk: Stop AI From Inventing IAM Wildcards

A senior-engineer guide to Cursor rules AWS CDK, with production-ready patterns, trade-offs, and practical examples.

AI AWS Debugging

LLM Incident Runbooks: Ground On-Call Answers in CloudWatch Signals

A senior-engineer guide to LLM incident runbooks, with production-ready patterns, trade-offs, and practical examples.

Cursor Rules for TypeScript Monorepos: Make AI Edits Stick

Cursor Rules Typescript: Make AI Edits Stick

A senior-engineer guide to Cursor rules TypeScript, with production-ready patterns, trade-offs, and practical examples.

AI AWS Machine Learning

AI Code Review Bot IAM: Least-Privilege Secrets and Pipelines

AI code review bot IAM done right: GitHub App tokens, scoped Bedrock InvokeModel, Secrets Manager, and ephemeral jobs that see a PR diff — not monorepo admin PATs.

AI AWS Machine Learning

OpenSearch vs pgvector vs S3 Vectors for Codebase RAG on AWS

OpenSearch vs pgvector vs S3 Vectors for code RAG on AWS: filtered ANN, pgvector iterative scans, OpenSearch hybrid search with RRF, S3 Vectors metadata pre-filtering, freshness and recall evaluation.

AI AWS Machine Learning

Amazon Bedrock Prompt Caching and Batch Inference: Cut Coding-Agent Latency and Cost Without Stale Rules

Bedrock prompt caching vs batch inference for coding agents: cachePoint placement, TTL, usage fields, JSONL batch jobs and stale-rule pitfalls.

AI AWS Machine Learning

AWS Lambda Coding Agent Sandbox: Safe Tool Isolation for LLM Agents

Build an AWS Lambda coding agent sandbox: ephemeral tool Lambdas, tiny IAM, deny-by-default networking, and structured results — so agents can run tests without owning the account.

AI AWS Machine Learning

Amazon Bedrock Agents (Classic) in Production: Safe Tools, Memory, Guardrails and the Move to AgentCore

Amazon Bedrock Agents Classic in production: action group Lambda validation, requireConfirmation, sessionAttributes, SESSION_SUMMARY memory, guardrail configuration, and migration mapping to Bedrock AgentCore.