Claude-Code

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. ...

You used to craft the perfect prompt. Tweak the wording. Add examples. Get a better answer. That era is ending. In 2026, the best AI coding workflows are not about prompts. They are about loops. You give the agent a goal, a test gate, and permission to run. You come back to a completed PR. This article explains how agentic workflows work, what they look like in practice, the risks nobody talks about, and how to set one up properly. ...

AI coding tools have changed a lot in 2026. A year ago, GitHub Copilot was the obvious choice. Now you have 7+ serious options — and the right one depends on how you work. This article covers the top AI coding tools as of March 2026. Real pricing. Honest pros and cons. No hype. What We Compare SWE-bench score — a standard coding benchmark. Higher = better at real coding tasks. Best use case — what the tool is actually good at Pricing — what you actually pay Honest verdict — where it falls short The Power Rankings 1. Claude Code Best for: Complex debugging, multi-file changes, full codebase understanding ...

You are working on a big refactor. Claude Code keeps asking: “Can I edit this file?” “Can I run this command?” “Can I delete this?” You say yes every time. There is a flag that skips all of that. It is called --dangerously-skip-permissions. Developers call it YOLO mode. This article explains what it does, when it is safe, and when it can destroy your project. What Is YOLO Mode? YOLO mode is Claude Code running with no permission prompts. It executes everything — file edits, shell commands, deletions — without asking. ...

Anthropic released a feature that changes how you work with Claude Code. It is called Remote Control, and it does exactly what the name says: you can control a Claude Code session running on your laptop from your phone, tablet, or any browser. Start a task at your desk. Walk into a meeting. Keep watching from your phone. What is Claude Code Remote Control? Claude Code Remote Control connects the Claude mobile app (iOS and Android) and the web interface at claude.ai/code to a Claude Code session running on your local machine. ...

Every AI coding tool has the same problem: it can read your code, but it can’t access your database. It can’t check your Jira tickets. It can’t read your Slack messages. It can’t query your production logs. Until now. MCP (Model Context Protocol) is a new standard that lets AI tools connect to anything — databases, APIs, file systems, project management tools, and more. It is like a USB-C port for AI. One standard connection that works with everything. ...

Two years ago, AI tools for developers meant one thing: autocomplete. Now they do everything — write code, review code, create designs, generate tests, manage databases, deploy apps, and even write documentation. Here are the 10 AI tools I actually use. Not tools I read about. Tools that are open on my computer right now. 1. Cursor — The Code Editor What it does: AI-powered code editor that writes, edits, and refactors code. ...

You open Claude Code on a new project. You ask it to fix a bug. It changes the wrong file. It uses the wrong architecture pattern. It runs the wrong build command. Not because Claude is bad. Because it doesn’t know your project. That is what context files solve. A CLAUDE.md or AGENTS.md file tells the AI everything it needs to know about your project before it starts working. It is the single most impactful thing you can do to improve AI coding agent output. ...

In the previous article, we learned what AI coding agents are. Now let’s build one. Not a toy demo. A real agent that reads your code, finds problems, fixes them, runs tests, and commits the result. You will understand how agents work from the inside. We will use Python and the Anthropic SDK (Claude API). The concepts apply to any AI provider. What We Are Building A simple agent that: Reads a Python file Sends it to Claude with instructions to fix linting errors Writes the fixed code back to the file Runs the linter to verify the fix If it still fails — tries again (up to 3 attempts) Commits the result with git This is the same loop that Claude Code and Copilot Agent use internally — just smaller and simpler. ...

A few years ago, AI coding tools just suggested the next line while you typed. Helpful, but you still wrote most of the code. That changed completely. In 2026, AI coding agents don’t just suggest — they plan, write, test, and ship code on their own. You describe what you want, and the agent builds it. It creates files, edits existing code, runs your tests, fixes failures, and opens a pull request. ...