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If you’ve spent any time in the JavaScript ecosystem, you’ve likely heard the name Babel  come up again and again. It’s one of those tools that quietly powers a huge portion of the modern web, yet many developers use it without fully understanding what it does or why it matters. Let’s break it down in a clear, practical way. Babel is a JavaScript compiler - a tool that converts modern JavaScript code (ES6+ and beyond) into a version that older browsers or environments can un

You can have the most capable model, a well-engineered harness, and a solid product vision - and still have no idea if your agent is actually working. That's the problem evals solve. An evaluation ("eval") is a test for an AI system: give an AI an input, then apply grading logic to its output to measure success. Good evaluations help teams ship AI agents more confidently. Without them, it's easy to get stuck in reactive loops - catching issues only in production, where fixing

Every AI coding tool faces the same fundamental problem: your codebase is too large to fit in a context window, but the model needs to understand it to help you. How a tool solves that problem shapes everything about what it can and can't do. GitHub Copilot and Claude Code solve it in opposite ways — and the gap between them isn't a matter of polish or features. It's a genuine architectural disagreement. How Copilot Works: Index First, Retrieve Later If your repository is hos

Most AI demos look impressive. Most AI agents in production quietly fail. The difference is rarely the model — it's everything built around it. Agentic AI refers to systems where a model takes autonomous, multi-step actions to complete a goal — browsing the web, writing and running code, calling APIs — acting, observing the result, and acting again, often over hours. Harness engineering is the discipline of building the system that makes those actions reliable. As LangCha