WORKING WITH AI
How to choose, combine, and integrate AI tools into your workflow.
11 articles
Claude Code is an AI coding tool available across terminal, Claude Desktop, browser, and IDE. This guide covers how it differs from regular Claude chat, how to set it up, and practical patterns for combining it with Cursor and Copilot.
Claude Code is a CLI-centric tool, but an official web version now exists. However, the web version centers on cloud execution with GitHub integration, serving a different role than the local terminal version. Non-engineers can use it, but getting started and articulating requirements in words takes some practice.
Claude Code is a terminal-first AI coding agent from Anthropic. This article covers everything you need to make an informed decision: how it differs from browser-based Claude, when to use it versus Cursor or Copilot, how to choose the right pricing plan, safety considerations, and more.
Learn how to use Claude Code's Plan Mode to make AI plan before coding. This guide covers decision criteria by task size, plan review, and the full workflow from planning to execution.
Should you choose Cursor or GitHub Copilot? Based on hands-on experience using both, here are the decision criteria organized around development style, team structure, and budget.
Should you leave VS Code behind and migrate to Cursor, or keep your environment intact by adding Cline? Based on hands-on experience, this article lays out decision criteria across three axes: migration cost, autonomy, and pricing.
After Cursor's free tier runs out, should you go with Pro or usage-based pricing? This guide breaks down the decision by development frequency and shows you how to prevent billing surprises on the pay-as-you-go plan.
With Claude Cowork, you can automate information gathering—including browser operations—without writing a single line of code. Here's how I automated news collection all the way to Discord notifications, plus the strengths and caveats I discovered from years of building my own automation.
This article explores the frustrations of running AI agents on your main PC and the practical benefits—usability, security, and remote operation—of dedicating a Mac mini as an always-on agent machine, complete with real-world operational design.
From installing Codex CLI to deciding when to use it over Claude Code or Cursor, understanding costs, and working around its weaknesses. A practical guide to the "right tasks vs. wrong tasks" framework that emerged from real-world use.
When you let AI handle your writing, it tends to produce generic content that anyone could have written. Drawing from experience with 40,000 text data points, this article explains why that happens and introduces a practical writing flow where AI asks you questions to restore your originality.
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