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Cursor is the most popular AI code editor in 2026. Millions of developers use it daily. But most of them only use Tab completion and basic chat. They are missing the features that make Cursor truly powerful. This article shows you everything Cursor can do — from inline editing to multi-file agents. By the end, you will use Cursor like a power user. If you need help choosing between Cursor and other tools, read Choosing Your AI Coding Tool first. For the Cursor vs Claude Code comparison, see our detailed comparison. ...

Claude Code is the most powerful AI coding tool available today. But most developers use maybe 20% of what it can do. They type a prompt, get code back, and move on. This article shows you the other 80%. The patterns, commands, and workflows that separate casual users from power users. If you have not set up Claude Code yet, start with the Claude Code Setup Guide. This article assumes you can already run claude in your terminal and have used it for basic tasks. ...

In the previous tutorial, we learned to work with GitHub and set up CI/CD. Now it is time for the advanced tools. Every developer makes mistakes. You commit the wrong file. You break something and need to find out which commit caused it. You need to grab a single commit from another branch. Git has tools for all of this. In this tutorial, you will learn to undo mistakes, recover lost work, and use power features that save hours of debugging. ...

In the previous tutorial, we learned about databases with SQLite and SQLAlchemy. Now let’s learn about logging and debugging — the professional way to understand what your program is doing. If you still use print() to debug your code, this tutorial is for you. By the end, you will know how to use Python’s logging module, debug with breakpoint(), and profile your code. Why print() is Not Enough Every beginner uses print() for debugging: ...

In the previous tutorial, we learned about HTTP requests and APIs. Now let’s learn about databases — how to store, read, update, and delete data using Python. We will cover two approaches: Python’s built-in sqlite3 module (no installation needed) and SQLAlchemy (the most popular Python ORM). By the end of this tutorial, you will know how to build data-driven applications. What is SQLite? SQLite is a database that stores everything in a single file. It comes built into Python — no installation, no server, no configuration. It is perfect for: ...

In the previous tutorial, we learned about async/await and asyncio. Now let’s learn about HTTP requests and APIs — how to call REST APIs, send data, handle responses, and build a reusable API client. Almost every Python application talks to an API at some point. Weather data, payment processing, social media, databases — they all use HTTP. By the end of this tutorial, you will know how to make HTTP requests, handle errors, and build a clean API client. ...

In the previous tutorial, we learned about testing with pytest. Now let’s learn about async/await — Python’s way to run multiple tasks at the same time without threads. Async programming is one of the most powerful features in modern Python. It is used in web frameworks (FastAPI), HTTP clients (httpx), database drivers, and many other libraries. By the end of this tutorial, you will understand how async works and when to use it. ...

Sometimes Column, Row, and Box are not enough. You need a circular progress bar. A custom chart. A drawing canvas. A shape that doesn’t exist in Material Design. That is when you use Canvas — Compose’s drawing API that lets you draw anything pixel by pixel. What is Canvas? Canvas is a Composable that gives you a blank area to draw on. You can draw shapes, lines, arcs, text — anything. ...