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Code With Mosh - Claude Code For Professional Developers
![]() Code With Mosh - Claude Code For Professional Developers Released 3/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 120 Lessons ( 8h 57m ) | Size: 2.2 GB 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. Цитата:
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