Hands-on tutorials for Claude Code, AI agents, cloud and system design
AWS Guidance for Enterprise Agentic AI Platform on AWS is an opinionated, deploy-ready reference platform published in the official aws-solutions-library-samples org for running production AI agents on Amazon Bedrock AgentCore. The repo, authored by Mehdi Nemlaghi and Cristian Balint and released under the permissive MIT-0 license in June 2026, takes a problem that every enterprise… Continue reading
TL;DR 30 sec12 min coredeep dive optional Temporal policies are stateful AgentCore Gateway rules that allow or deny an agent’s next action based on what the agent has already done in the session, closing the gap that per-request, stateless authorization leaves open. Stateless authorization checks each call in isolation; agents break in the sequence, so… Continue reading
AgentCore Gateway is the managed front door that turns scattered AI agent tool access into one governed endpoint. In this tutorial you will create a gateway, register a Lambda function as an MCP tool, write Cedar allow and deny rules, and read the audit record every call leaves behind. No gateway infrastructure to run, no… Continue reading
GPT-5.6 now runs on Amazon Bedrock. OpenAI’s current frontier family is available in more than 25 AWS Regions, reachable through cross-region inference profiles. This guide shows you how to enable the models, call them three different ways, read the real price sheet, and size quotas without surprises. GPT-5.6: What You’ll Learn GPT-5.6 arrived on Amazon… Continue reading
TL;DR 30 sec3 min coredeep dive optional Query-aware compression cuts RAG costs on Amazon Bedrock by 33 percent in AWS’s own benchmark: one extra small-model call strips retrieved context down to the spans that answer the actual query before the expensive model ever sees it. Tokens reaching the primary model dropped to 12 percent of… Continue reading
TL;DR 30 sec3 min coredeep dive optional Bedrock web search gained two upgrades on August 19, 2026: an external_web_access switch that lets model calls reach the live web, and AgentCore domain plus publish-date filters that agents cannot bypass at the API layer. external_web_access defaults to true, but live retrieval silently fails without the bedrock-websearch:ExternalWebAccess IAM… Continue reading
TL;DR 30 sec8 min coredeep dive optional Prompt caching on Amazon Bedrock charges 25 percent more to write a cached prefix and 90 percent less to read it back, so any context you reuse within the TTL bills at a fraction of the standard input rate. Cache reads cost 90 percent less than standard input… Continue reading
Agentic AI transforms how cloud architects build intelligent systems on AWS. Instead of writing rigid procedural code for every workflow, you delegate goals to software agents that perceive context, reason about trade-offs, and act on your behalf. This guide covers the foundations and shows how Amazon Bedrock, AWS Lambda, and AWS Step Functions bring autonomous… Continue reading
Agentic AI patterns are the reusable blueprints that turn a generic language model into a purposeful production system. Where Part 1 covered the why, this guide maps each pattern (reasoning, retrieval-augmented, orchestrator, multi-agent) to the AWS services that bring it to life. Agentic AI Patterns: What You’ll Learn You’ll recognize the core patterns, know when… Continue reading
Serverless AI runs agentic workloads without provisioning a single EC2 instance. Lambda, Bedrock, AgentCore, and Step Functions compose into elastic, pay-per-use architectures that scale to zero between requests. Serverless AI: What You’ll Learn Serverless AI runs agentic workloads on fully managed, event-driven AWS services instead of provisioned infrastructure: Lambda for orchestration, Bedrock for foundation model… Continue reading
RAG optimization begins before a user submits a query, at the source documents that feed retrieval-augmented generation. Document and context engineering is the discipline of writing for two readers: the human who skims the page and the embedding model that chunks it. RAG Optimization: What You’ll Learn RAG optimization is the practice of writing and… Continue reading
Healthcare RAG on AWS using Amazon Bedrock, OpenSearch, and Neptune. Patient data augmentation, re-admission prediction, and talent management solutions grounded in HIPAA-eligible infrastructure.
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