May 22, 2026

Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat

This talk presents a container-first methodology for developing, distributing, and managing AI agents. Using a stack of Podman for local development and Kubernetes for scalable deployment, this approach transforms personalized agent setups from messy collections of files into reproducible, secure, and portable container images that can serve as a team-wide baseline. The session covers practical techniques for secrets management, state persistence, and automated setup, highlighted by a real-world example from an Nvidia team using this pattern for model evaluations.

May 21, 2026

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Onur Solmaz from OpenClaw discusses the challenge of managing 300-500 daily, often AI-generated, pull requests. He introduces ACPX, a headless CLI for the Agent Client Protocol (ACP), designed to automate PR triage through a node-based workflow. The talk culminates in a vision for on-demand, disposable agent pods on Kubernetes, managed by a Go operator that provisions and tears down full compute environments per task, wiring them into chat platforms like Slack.

May 11, 2026

A Piece of Pi: Embedding The OpenClaw Coding Agent In Your Product — Matthias Luebken, Tavon

Matthias Luebken explains the core principle of building with coding agents: make things easy for them. This talk deconstructs the Pi SDK, showing how a simple loop of an LLM calling CLI tools can lead to emergent capabilities. Luebken presents a real-world B2B sales pipeline built on this principle, where agents handle incoming emails, query CRM/ERP data via simple tools, and generate draft responses, keeping the human in their familiar email client.

May 08, 2026

Thin Harness, Fat Skills: The New Way To Build Software

This episode explores the transformative shift in software development, where AI agents empower solo developers to achieve unprecedented productivity. Featuring YC President Gary Tan's return to coding after 13 years, it delves into new workflows, the 'tokenmaxxing' philosophy, and the rise of personal, user-controlled AI.

Apr 27, 2026

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

AI agents represent a paradigm shift from conversational AI to autonomous systems that can perform actions. This is achieved through an 'agentic loop' combining Large Language Models (LLMs) with tools, as exemplified by the OpenClaw framework, which enables complex, automated workflows while also raising important security considerations.

Apr 22, 2026

Should you let OpenClaw pen test your system? Plus: Cybersecurity for ephemeral software

IBM security experts discuss the implications of using AI agents like OpenClaw for penetration testing, the challenges posed by AI-generated ephemeral software, and the strategic allocation of security budgets in an era of rapidly growing ransomware threats.