2026
Claude Agent SDK: What It Is and How to Build Your First Agent (2026)Oct 23 · 17 minThe Claude Agent SDK is Claude Code as a library. What it is, how it differs from the Messages API and the claude CLI, how to install it, a minimal working agent in TypeScript and Python, and how tools, permissions, MCP servers, subagents and hooks work.Claude Code Subagents: How They Work and How to Build Your Own (2026)Oct 23 · 13 minWhat Claude Code subagents are, the built-in ones, how to write a custom subagent file, how Claude delegates and runs them in parallel, and when a skill, hook or MCP server is the better tool.Claude --dangerously-skip-permissions: What It Does and How to Set Up Permissions SafelySep 08 · 15 minWhat claude --dangerously-skip-permissions actually does, when it is safe to use, and the access ladder and settings.json I would use to keep coding agents useful without handing them your whole machine.GPT-6 Astra Review: The Best Agent Anyone Has Shipped, and the First That Hides Its WorkSep 06 · 14 minOpenAI shipped GPT-6 Astra on September 3 at $10 in and $50 out, the same headline price as Claude Fable 5.1. The benchmarks are a real jump, the cache price is four times higher, and the model uses a reasoning technique that makes its chain of thought harder to monitor. Here is the whole picture.How to Build an MCP Server in TypeScript: A Practical 2026 GuideMay 22 · 20 minEveryone is installing MCP servers. Almost nobody is writing them. Building a useful one in TypeScript takes an afternoon: a complete working example, then tool design, auth, testing, Claude Code wiring, and how to deploy it as a remote server on Cloudflare or Vercel.Claude Code Skills: How to Write Your Own in 2026 (Practical Guide)May 22 · 20 minClaude Code skills explained: what they are, which ones to install, and how to write your own. The Claude Code marketplace has plenty of skills. Almost none of them solve your exact problem, because nobody else has your exact workflow. The good news is that writing your own skill is the most underrated AI productivity unlock of the year, and it takes about thirty minutes once you understand the moving parts. Here is the walkthrough I wish existed.A2A vs MCP in 2026: How AI Agents Actually Talk to Each OtherMay 21 · 15 minMCP crossed 97 million monthly SDK downloads. A2A is now governed by the Linux Foundation alongside it. Every major AI vendor backs both protocols, and most developers still cannot explain when to reach for which. This is the honest, hands-on guide.Claude Code Plugins and Skills Marketplace: Best Plugins, Hooks and Setup (2026)May 19 · 17 minHow Claude Code plugins, skills, MCP servers and hooks fit together, how to install them from a marketplace, which plugins are worth starting with, and how to ship your own. Updated October 2026 against the official docs.Vercel Zero: A Programming Language Built for AI Agents to Read, Repair and ShipMay 18 · 14 minVercel Labs just dropped a new systems language called Zero whose compiler speaks JSON, whose effects live in your function signatures, and whose binaries weigh less than ten kilobytes. The pitch is simple: a language where an AI agent can read a compiler error, ask for a typed fix, and ship a native program without a human in the loop. Here is what Zero actually is, what it is not, and whether the agent-first compiler is a clever bet or a Vercel side project you can safely ignore.AI Browser Agents in 2026: Stagehand vs Browser Use vs PlaywrightApr 27 · 14 minMost browser automation tutorials show you how to click buttons. They do not show you what happens when the button moves, the page layout changes, and the model confidently clicks the wrong thing anyway. Here is how to build browser agents that survive contact with the real web.Multi-Agent vs Single-Agent Architecture in 2026: When the Crew Beats the SoloistApr 25 · 13 minMulti-agent systems are the architecture pattern everyone is talking about in 2026 and almost nobody actually needs. After shipping both shapes in production, here is the honest framework for when a crew of agents beats a single well-prompted one, and when it just multiplies your bugs.AI Agent Observability: Debugging Production Agents Without Going Insane (2026)Apr 21 · 17 minThe reason your agent works in development and quietly falls apart in production is almost never the model. It is that you cannot see what it did. Here is the observability setup that turns mystery failures into fixable bugs.