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Claude is smart, but it cannot check the weather, query your database, or call your APIs. Tool use changes that. You define functions, and Claude decides when to call them. This is Article 8 in the Claude AI — From Zero to Power User series. You should have completed Article 7: Messages API before this article. By the end of this article, you will know how to define tools, handle the tool use flow, force tool execution, and build a working multi-tool assistant. ...

The Messages API is the foundation of everything you build with Claude. Every feature — tool use, vision, streaming, caching — goes through this API. Understanding it deeply will make every other article in this series easier. This is Article 7 in the Claude AI — From Zero to Power User series. You should have completed Article 2: Getting Started before this article. By the end of this article, you will know how to build multi-turn conversations, stream responses in real time, and track your token usage. ...

Anthropic just built its most powerful model — and decided not to release it to the public. Claude Mythos Preview is real, and the reason it’s restricted has nothing to do with business strategy. It found thousands of zero-day vulnerabilities across every major operating system and every major web browser. Some of those bugs had been hiding for decades. What Is Claude Mythos Preview? Claude Mythos Preview is Anthropic’s most capable model, released April 7, 2026 — but only to a restricted set of security partners. ...

Claude Code is smart. But it does not know your project. It does not know your coding style, your build commands, or your project structure. That is what CLAUDE.md fixes. This is Article 6 in the Claude AI — From Zero to Power User series. You should have completed Article 3: Claude Code CLI before this article. By the end of this article, you will know how to write CLAUDE.md files that make Claude Code work like a teammate who already knows your codebase. ...

Every pull request in your repo should be reviewed. But manual code reviews take time — often 2-4 hours per PR. And reviewers miss things when they are tired or rushed. AI code review tools read every PR automatically and leave comments in minutes. Not replacing human reviewers — augmenting them. The AI catches the obvious bugs, the human reviewer focuses on architecture and business logic. Here is how to set it up on GitHub. Three options — from easiest to most customizable. ...

Most developers use Claude Code like a chatbot. Type a question, get an answer, copy the result. That is maybe 20% of what it can do. Here are 5 tricks that change how you work. 1. The ! Prefix — Run Shell Commands Instantly Type ! before any shell command in the chat and Claude runs it immediately — and reads the output. ! git log --oneline -5 ! npm test ! docker ps ! cat package.json Claude sees the result as part of your conversation. No copy-pasting terminal output into the chat. No switching windows. ...

Everyone writes about AI tools. Nobody shows how they actually use them day to day. Here is my real workflow — which tools I open, when I use each one, what works, what fails, and what it actually costs. No sponsored content. Just what I do. My Daily Setup Three screens. Two AI tools always running. One browser tab. Left screen: Cursor (main code editor) Right screen: Terminal with Claude Code Browser: Claude.ai or ChatGPT for quick questions That is it. No 10 tools. No complex setup. Two AI coding tools and a chat window. ...

Anthropic launched the Advisor Strategy on April 9, 2026 — a way to get near-Opus intelligence in your AI agents at a fraction of the cost. The idea is simple. Instead of running Opus on every request, you pair a cheaper model with Opus as an on-demand advisor. The cheap model does all the work. Opus only steps in when needed. How It Works You have two roles: Executor — Sonnet or Haiku. Runs every turn. Calls tools, reads results, makes decisions. Advisor — Opus. Runs on-demand only. Reviews the shared context and sends guidance when the executor is stuck. The executor and advisor share the same context: the system prompt, tool definitions, full conversation history, and all prior tool results. When the executor hits a hard decision, it calls the advisor tool. Opus reviews the full context and sends back a plan or correction. Then the executor continues. ...

Figma’s canvas engine runs in your browser at desktop speed. Google Earth loads a 3D globe without a plugin. AutoCAD moved from a desktop app to a website. They all use WebAssembly. What is WebAssembly? WebAssembly — Wasm — is a binary format that browsers can run directly. It is not a programming language. It is a compile target. You write code in C++, Rust, Go, or another language. You compile it to a .wasm binary. The browser loads that binary and runs it at near-native speed. ...

Every AI agent we have discussed so far needs the cloud. You send a prompt to Claude or GPT, wait for a response, and pay per token. That works for coding and content generation — but what about a sensor on a factory floor? A camera in a farm? A device with no internet? That is where edge AI comes in. Running AI models directly on the device — no cloud, no latency, no API costs. ...