Claude Code Subagents: How Top 1% Software Engineers Build,

About this course

Most developers use AI the same way: open a chat, paste a prompt, copy the output, hope it works. That's not engineering — it's guessing. This course teaches you the difference.

Over the next 8 modules, you'll build a complete, production-style internal CRM for a payments processor — merchant management, support tickets, tasks, and a live dashboard — using Claude Code subagents instead of one giant prompt. You'll see, step by step, how a senior engineering team actually structures AI-assisted development: a dedicated architect subagent designs the system before a single line of code is written, a UI/UX subagent plans the interface using real information architecture, a backend subagent builds a normalized Supabase schema with proper auth and row-level security, and a frontend takes shape on top of it.

But building the app is only half the course. You'll also learn the part most AI tutorials skip entirely: quality. A Playwright subagent reviews your UI in a live browser and reports back on usability and accessibility. A dedicated test automation subagent writes a real test suite. A code review subagent checks your work for security issues, performance problems, and maintainability — before anything gets committed to GitHub. By the final module, you'll even wire up an end-to-end project management subagent that pulls tasks from ClickUp, assigns them to the right specialist subagent, and moves work through your pipeline automatically.

This isn't a "vibe coding" course. It's a blueprint for working the way senior software engineers are already starting to work: orchestrating specialized AI agents with clear roles, context, and review gates, instead of relying on a single prompt to do everything. By the end, you won't just have a working CRM — you'll have a repeatable system for building real software with AI, on any project, from here on out.

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