Better Stack introduces Skybridge, an open-source TypeScript framework for building MCP apps — web applications designed for two users at once: the human and the AI assistant, sharing the same interface.
Thu Vu delivers a comprehensive beginner's guide to text embeddings — tracing the evolution from one-hot encoding and Word2Vec through transformer-based models, with practical examples of semantic search, clustering, and RAG.
Daisy Holman from the Claude Code team breaks down how to customize Claude Code for large-scale software engineering: access, knowledge, tooling, and the plugin abstractions that actually scale.
Margot Vanlar from Anthropic walks through practical prompt engineering via two scenarios: debugging a broken production prompt after model migration and building a new agentic system from scratch. Covers eval-driven iteration, XML structure, tools over instructions, trade-off framing, and the generate-evaluate-repair loop.
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.
