[00:03] gets built. At Anthropic, engineers are already using it to write up to 90% of their code. And in this course, you will learn how to use it to build and deploy real production-grade software with AI. We'll build a full-stack AI-powered
[00:17] support ticket system. The kind of app you would actually ship to real customers. It has authentication and role-based access control, so the right people see the right things. We'll build a rich ticket management
[00:29] experience, so agents can quickly and easily find what they need. And we'll add AI-powered features that make the whole system smarter, summarizing long ticket conversations in one click,
[00:42] and polishing agent replies to sound professional and on brand. And here's my favorite part. When a customer sends us an email, an AI agent in the background picks it up, analyzes it, and sends a professional reply
[00:56] within seconds. No human involved. And if the ticket can't be resolved, it gets escalated to a real agent to handle. This is a real engineering course, not a vibe coding experiment where 50 AI agents build an app while you sleep.
[01:10] We'll review every line of AI-generated code, identify issues, refactor constantly, and make sure everything follows solid engineering practices backed by hundreds of automated tests. This is the app I started building to
[01:24] solve a real problem for my own coding school. I built this with Cloudcode in about two full working days. If I wanted to build this manually with all the tests and all the features, we're talking two to three weeks minimum.
[01:37] And in this course, I'm going to show you exactly how I did it, from an idea to a live deployed application. Watch the full video on my YouTube channel.