You ask Claude to return JSON, and it usually works. But sometimes it adds extra text, wraps it in markdown code blocks, or returns invalid JSON. Structured output fixes this — it guarantees valid JSON that matches your schema. This is Article 10 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 two ways to get reliable structured data from Claude, and when to use each one. ...

If you use a Mac, you probably press Cmd+Space dozens of times a day. That opens Spotlight. It works. But it is basic. Raycast does everything Spotlight does — and a lot more. And the core is free forever. Who is this for? If you are a developer on Mac who wants faster app switching, clipboard history, and integrations with tools like GitHub, Linear, and VS Code — all with a single hotkey — this is for you. ...

Claude can see. Send it a screenshot, a photo of a document, a chart, or a technical diagram — and it will analyze what it sees. Vision turns Claude into a powerful tool for data extraction, UI review, and document processing. This is Article 9 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 send images to Claude, extract data from documents, analyze screenshots, and optimize image costs. ...

These ten concepts appear in almost every Python project. If you know all of them, you can read and write real Python code. If you are missing one, that is the one that trips you up on every project. 1. Variables and Data Types Python infers types automatically. No declaration needed. name: str = "Alex" age: int = 25 score: float = 9.5 active: bool = True nothing = None print(type(name)) # <class 'str'> The four built-in collection types: numbers = [1, 2, 3] # list — ordered, mutable point = (10, 20) # tuple — ordered, immutable tags = {"python", "dev"} # set — unique items user = {"name": "Alex", "age": 25} # dict — key/value pairs Use type() to check the type of any variable at runtime. Use type hints for documentation and IDE support. ...

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. ...

In the previous tutorial, you built a complete microservice with REST. Now let’s learn gRPC — a faster alternative for service-to-service communication. gRPC is a high-performance RPC framework created by Google. It uses Protocol Buffers (protobuf) for serialization and HTTP/2 for transport. It is faster than REST+JSON, supports streaming, and generates client and server code automatically. When to Use gRPC vs REST Feature REST gRPC Format JSON (text) Protobuf (binary) Speed Good Faster (2-10x) Streaming Limited (WebSocket) Built-in Browser support Native Needs proxy Code generation Optional (OpenAPI) Built-in Human readable Yes No (binary) Use REST when: ...

In the previous tutorial, you learned Docker for Go. Now let’s put everything together and build a complete microservice. This is a project tutorial. You will build a notes API from scratch using the skills from the entire series: Gin for routing, PostgreSQL with sqlx for storage, JWT for authentication, validation for input, slog for logging, and Docker for deployment. What We Are Building A notes microservice with these endpoints: Method Path Description Auth POST /api/register Create account No POST /api/login Get JWT token No GET /api/notes List user’s notes Yes POST /api/notes Create a note Yes GET /api/notes/:id Get a note Yes PUT /api/notes/:id Update a note Yes DELETE /api/notes/:id Delete a note Yes GET /health Health check No Project Structure notes-api/ cmd/ server/ main.go # Entry point internal/ handler/ auth.go # Auth handlers (register, login) notes.go # Note CRUD handlers middleware.go # JWT middleware model/ user.go # User struct note.go # Note struct repository/ user.go # User database operations note.go # Note database operations service/ auth.go # Auth business logic go.mod go.sum Dockerfile docker-compose.yml This follows the clean architecture from Go Tutorial #10. ...

In the previous tutorial, you built a CLI tool with Cobra. Now let’s package your Go applications with Docker. Go and Docker are a perfect combination. Go compiles to a single static binary. No runtime, no dependencies, no virtual machine. You can run a Go binary in a Docker image that contains nothing else. The result? Production images under 15MB. A Simple Dockerfile Start with a basic Dockerfile for a Go web server: ...

In the previous tutorial, you learned about generics. Now let’s build something practical — a command-line tool. Go is one of the best languages for building CLI tools. It compiles to a single binary with no dependencies. Tools like Docker, kubectl, Hugo, and GitHub CLI are all written in Go using Cobra. In this tutorial, you will build a complete TODO CLI app. What is Cobra? Cobra is a library for creating CLI applications in Go. It provides: ...

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. ...