AI code reviewers are everywhere now. Open a pull request, and a bot jumps in with comments: a possible bug here, a missing test there, a nitpick about naming. But here’s the awkward question nobody could answer well: which of these AI reviewers is actually good? And if you’re building your own code review tool, […]
Read More →Playwright MCP (Model Context Protocol) and Playwright CLI (Command Line Interface) are two different architectures developed by Microsoft for letting AI agents control web browsers. They share the same underlying Playwright engine, but they are built around very different ideas about how browser state is delivered to the model. The biggest difference is this: Playwright CLI is optimized […]
Read More →Picture a warehouse stocked with every power tool ever made. Now picture the lights off, no labels, and no inventory list. That’s roughly where AI assistants are today. Modern AI clients like Claude, ChatGPT, Copilot, and Gemini aren’t limited to what the model knows anymore. They can plug into external tools, MCP servers, APIs, Skills, […]
Read More →You can learn operating systems, compilers, and machine learning in a computer science degree. But nobody sits you down and shows you how to actually use your computer well. That gap has a name: The Missing Semester of Your CS Education, a free course from MIT. Here’s what it is, why it matters, and how […]
Read More →A claim has been making the rounds in AI coding circles: stop prompting your coding agents and start designing loops that prompt them for you. Like most things, it gets repeated far more than it gets explained. This is the practical version — what an agent loop is, why it matters, and what one actually […]
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