Tutorial-driven development with Kiro
A developer explores using AI to create personalized, project-based tutorials for learning new technologies like FastMCP, Strands, and AgentCore.
Brian Beach is a developer advocate, speaker, and author leading the Developer Experience community at AWS, helping teams improve productivity with infrastructure as code, DevOps, and generative AI.
132 articles from this blog
A developer explores using AI to create personalized, project-based tutorials for learning new technologies like FastMCP, Strands, and AgentCore.
Kiro CLI now supports the Agent Client Protocol (ACP), enabling its AI agent to work within specialized IDEs like DataGrip for database tasks.
A developer shares his experience using an Elgato Prompter for video content and creating a custom 3D-printed iPhone 17 Pro backplate for it.
Learn how to teach AI agents to understand and use custom enterprise libraries and domain-specific languages using Kiro and MCP.
A guide to the Developer Tools track at AWS re:Invent 2025, highlighting key sessions on CI/CD, IaC, AI coding agents, and full-stack development.
A guide on teaching the Kiro AI agent to work with custom libraries and DSLs using steering files and the Model Context Protocol (MCP).
AWS Principal Tech Lead discusses his career, AWS tools, AI development, and his book on the Tech'o'Space Podcast.
A developer's week in Bengaluru attending AWS AI-DLC events, workshops, and hackathons focused on AI-driven development.
Learn how Amazon Q Developer AI assistant enhances software security and code quality through SCA, SAST, and DevSecOps integration.
A detailed overview of new features in the Amazon Q Developer CLI, including conversation persistence, MCP enhancements, and improved context control.
Amazon Q Developer introduces an agentic coding experience within the IDE, allowing natural language control to read/write files, run commands, and build code.
Summary of new features and innovations for Amazon Q Developer, an AI-powered coding assistant, launched in April 2025.
Amazon Q Developer CLI now supports Model Context Protocol (MCP) to connect external data sources for richer, context-aware AI assistance in development tasks.
Amazon Q Developer expands to Europe with a new Frankfurt region, offering EU data residency and reduced latency for developers.
Amazon Q Developer's new inline chat feature in Eclipse IDE helps Java developers refactor, edit, and optimize code directly within the editor.
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How to customize Amazon Q Developer's AI code suggestions for C# and C++ projects using your private codebase to improve accuracy and productivity.
AWS Developer Day 2025 recordings showcase how generative AI is transforming software development, featuring sessions on tools, productivity, and skills.
Amazon Q Developer now supports upgrading Java applications to Java 21, automating the migration process with AI assistance.
Explores new Amazon Q Developer features for using workspace context, explicit context, and transparency to improve coding workflows in VS Code.