Onur Solmaz from OpenClaw walks through scaling AI agents on Kubernetes using ACPX and the Agent Communication Protocol — comparing MCP, ACP, and A2A, with practical deployment patterns for multi-agent orchestration.
Mark Kashef demonstrates how to run any skill instantly in both Claude Code and Codex — comparing their fundamentally different mechanics for skill design, execution, and portability.
Better Stack reviews Understand-Anything, an open-source Claude Code plugin that generates interactive dashboards from any codebase — turning 200K-line repos into navigable architecture maps with dependency graphs and flow diagrams.
Steve from Builder.io presents a progressive ladder for AI app architecture — from bare LLM calls to full agent-native applications with instructions, skills, memory, and sub-agents — and introduces the open-source Agent Native framework.
