Code With Mosh – Claude Code For Professional Developers
Released 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 120 Lessons ( 8h 57m ) | Size: 2.2 GB
Build and deploy production-grade apps with AI – no vibe coding
AI coding tools are everywhere – but most developers are using them wrong.
Copying AI-generated code without reviewing, testing, or understanding it – that’s vibe coding. It works for demos. It falls apart in production.
This course is different.
In Claude Code for Professional Developers, I’ll show you how to use Claude Code the right way – to ship production-grade apps faster, with better code quality, and without sacrificing the engineering principles that make software maintainable.
We’ll build a real AI-powered customer support system from scratch, covering everything from planning and authentication to AI features, testing, and deployment.
What You’ll Learn
Set up and configure Claude Code for professional development workflows
Use Plan Mode, subagents, and Model Context Protocol (MCP) effectively
Create custom tools and skills to extend Claude Code
Build a full-stack app with React, Express, Prisma, and PostgreSQL
Implement authentication with role-based access control
Write unit tests and end-to-end tests with Playwright
Integrate AI features into your applications with Vercel AI SDK
Set up email integration for receiving and sending emails
Dockerize and deploy your app to production
Automate workflows with GitHub Actions
What You’ll Build
AI-Powered Customer Support System: Build a full-stack customer support ticketing app powered by AI. You’ll start from scratch – planning the project, setting up authentication, and implementing full CRUD for users and tickets. Then you’ll layer in AI features: polishing replies, summarizing tickets, classifying issues, and auto-resolving common requests with background job processing. The app also includes email integration (receiving and sending), a real-time dashboard, and is fully deployed to production with Docker and Railway.
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