Model Context Protocol (MCP) is transforming how AI agents access and utilize development context. In this live demo, you'll see how Kiro leverages MCP alongside steering files to create context-aware coding agents that understand your development environment.
We'll demonstrate:
MCP in action: How Kiro's AI agents use MCP to external tools in real-time
Steering files: Creating and evolving steering files that guide AI behavior based on your project's specific patterns, conventions, and architectural decisions
Context-aware generation: Watch as agents generate code that respects existing patterns
This isn't just code completion—it's AI agents that understand your development context and can make intelligent decisions about code generation, refactoring, and feature implementation. You'll leave with practical knowledge of how MCP and steering files can transform your own development workflow with Kiro
Jonathan has been working as a DevOps specialist solutions architect at Amazon Web Services for over a year and has previously practiced professional software development for over a decade. He is passionate about enabling builders. Jonathan lives in the Triangle area of North Carolina and enjoys climbing rocks, birding and music.
Onur Dogruoz leads the Developer Advocacy team at AWS, focusing on Kiro, Q Developer and developer tools. He works directly with emerging AI development tools to improve developer workflows. With 20+ years in tech leadership, Onur has experience building teams and driving adoption of new technologies across different customers.
