Podcast: From OpenClaw to AI Functions — What's Next for Agentic Development
I joined Romain Jourdan on the AWS Developers Podcast to discuss OpenClaw, async agentic tools, Strands Labs, AI Functions, and the future of software development.
I joined Romain Jourdan on the AWS Developers Podcast to discuss OpenClaw, async agentic tools, Strands Labs, AI Functions, and the future of software development.
A check-in on the definition of an AI Engineer in 2026 - from fine-tuning to agentic systems, tools, RAG, and MCP.

Moving beyond Software 3.0's generate-and-verify loop, AI Functions execute LLM-generated code at runtime, return native Python objects, and use automated post-conditions for continuous verification. This is Software 3.1: where AI doesn't just write code—it runs it.
Every agent framework blocks while tools run. This post walks through an experimental approach to true async agentic tools — where the model stays responsive while tools complete in the background.
Build agents that work with Amazon DynamoDB to get access to real time data. Build tools and connect to hooks with Strands Agents SDK.
Learn how to implement short-term and long-term memory for more intelligent, personalized AI interactions and discover Amazon Bedrock AgentCore's capabilities.
I joined Romain Jourdan on the AWS Developers Podcast to discuss MCP's rocky launch, agent security, context overloading, the rise of lightweight frameworks, AI coding assistants, and where agentic AI is heading next.
Deploy streaming AI agents on AWS with API Gateway, Cognito auth, and AgentCore Runtime for real-time responses with enterprise-grade security.
Step-by-step tutorial for building streaming AI agents on AWS with CDK, API Gateway, Cognito auth, and AgentCore Runtime.
In this video, Mike shows you how to take any AI agent and deploy it securely at enterprise scale using Amazon Bedrock AgentCore. So if you're using CrewAI, Lan