In this article Why AI coding agents have strong library preferences What the defaults actually are (and the data behind them) When the defaults work fine When they quietly fail you What to do instead: giving your agent better information The keyword angle nobody is covering yet If you have been building web applications with an AI coding agent...

A step-by-step guide to installing the LightningChart JS MCP server so your AI coding agent stops hallucinating chart APIs and starts writing production-ready code from the first prompt. AI coding agents are good at writing chart code. They are less good at writing correct LightningChart JS code the first time, because they tend to mix up API...

An agent skill is a folder of instructions your AI coding tool picks up automatically. This one teaches any compatible agent how to use LightningChart JS correctly, before it writes a single line of chart code. Agent skills are a relatively new concept and the terminology is still settling, so a quick definition before anything else: an agent...

AI coding assistants are getting good at most parts of application development. Data visualization is one of the areas where they still have a consistent, predictable failure mode. This article explains the mechanics of why it happens and the practical fix. I spent a few weeks recently testing every major AI coding agent on data visualization...

Every year someone publishes a listicle of JavaScript charting libraries. They screenshot a demo, note the GitHub stars, paste in the npm install command, and call it a day. Then you follow their recommendation, get six months into your project, and discover that your dashboard freezes solid the moment a real user connects a real dataset. This...