This hands-on course demystifies AI-assisted software development, showing you how to pair program with a modern coding copilot. You’ll learn prompt patterns for planning features, writing and refactoring in multiple languages, debugging tricky issues, and generating solid tests. We’ll also practice feeding whole repos as context, running code in safe sandboxes, wiring the assistant into your IDE, terminal, and CI, and applying security, privacy, and version-control best practices so everything stays reliable and auditable.

By the end, you’ll ship faster with fewer regressions and a clearer paper trail. Real-world labs mirror day-to-day work: triaging bugs, migrating frameworks, drafting docs and PR reviews, accelerating data and DevOps scripts, and ramping up on unfamiliar codebases. You’ll leave with reusable prompts, workflow checklists, and integration configs that turn AI into a dependable teammate on solo projects or across a team.

I’m Mosh Hamedani, a software engineer and teacher who loves turning complex ideas into clear, practical lessons. I’ve spent years building real-world applications, mentoring developers, and focusing on fundamentals like clean code, testing, and maintainable architecture—experiences that shape how I teach and what I emphasize.

As the creator and instructor of Claude Code, I bring that same practical approach to AI-assisted development. We use Claude as a thoughtful coding partner to plan features, generate and review code, write tests, and debug faster—while you stay in control and keep quality high. I’m passionate about helping you ship better software with confidence, and this course is built to give you the skills, patterns, and habits to do exactly that.