I just spent months debugging my own AI-generated code. The result? A JavaScript Visualizer that finally shows what's actually happening behind the scenes. Quick test — without running this, what prints first? Promise.resolve().then(() => console.log(1)); setTimeout(() => console.log(2), 0); queueMicrotask(() => console.log(3)); console.log(4); Most beginners memorize the answer. Almost nobody understands why. The "why" lives in the call stack, the microtask queue, the macrotask queue, and the event loop — concepts that are practically invisible in a normal debugger. So I built a tool that makes them visible. ▶️ Watch the call stack push and pop, line by line ▶️ See setTimeout park in Web APIs, then graduate to the task queue ▶️ Watch promise callbacks line up as microtasks ▶️ See the event loop pick the next job in real time ▶️ Live memory graph — stack frames on the left, heap objects on the right ▶️ Every step annotated with the actual ECMAScript spec reference Built almost entirely with AI. It took months. The hard part wasn't the UI — it was making the simulated runtime match the real one. I had to fix async/await microtask ordering, super.method() resolution in class hierarchies, TDZ when parameters shadow outer consts, try/finally semantics on early return, await rejection inside try/catch — and 40+ other edge cases. After 48 differential tests against real Node.js, the engine finally produces identical output. I have a planning to deploy it soon. If you teach JavaScript — or you're still learning it — this is going to save you (or your students) weeks of confusion. #JavaScript #LearnJavaScript #WebDevelopment #BuildInPublic #AI #EventLoop #AsyncJavaScript #FrontendDev #100DaysOfCode #CodingJourney #SoftwareEngineering #Programming #DeveloperCommunity #JSVisualizer #TechTwitter

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