AI-Driven Development with Kiro: Building Serverless Applications with AI-Native Tools
This hands-on workshop teaches participants to accelerate feature development while maintaining code quality using Kiro's AI-native platform. Attendees work with a real serverless application to master five core techniques: Vibe Coding for rapid implementation, Spec-Driven Development for complex features, Steering for codebase consistency, Agent Hooks for automation, and MCP Integration for extending capabilities. Demonstrates practical AI integration in development workflows, enabling faster delivery of clinical and administrative systems. Participants gain immediately applicable skills for current healthcare technology projects.
Bineesh Ravindran is an AWS Solutions Architect specializing in Public Sector with over 23 years of experience building enterprise-scale cloud and AI-native solutions. A core AWS SME for Developer Tools and CI/CD, he has guided 30+ organizations across healthcare, government, and higher education through GenAI adoption — including hands-on deployments of Amazon Bedrock, Amazon Q, and serverless architectures . Holding six AWS certifications including the AWS Machine Learning Specialty and Solutions Architect Professional, Bineesh is an active contributor to the AWS AI/ML Technical Field Community and a published author on AI-assisted development tools. At CMIS 2026, he brings real-world, production-grade experience to help developers unlock the full potential of AI-native development with Kiro.
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