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Claude Code Subagents How Top 1% Software Engineers Build,
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 10m | Size: 618.82 MB
Design, build, test, and ship a production CRM using senior-level Claude Code subagents - the exact workflow real softwa
What you'll learn
What subagents are and why they change how you build software with AI
How to design a custom UI/UX subagent to generate consistent, high-quality interface designs
How to seed data and build out a working frontend
How to create a Test Automation Engineer subagent with full test suites
How to create a Project Management subagent and connect it to a Project Management MCP
How to create a Technical Implementation Plan using Claude Code before writing any code
How to build a Backend subagent and connect it to Supabase
How to use Playwright for automated UI testing
How to build a Code Review Agent that reviews code like a senior engineer
How to orchestrate multiple subagents together in a real development pipeline
Requirements
A computer with Claude Code installed (Mac, Windows, or Linux)
Basic familiarity with the command line/terminal
Basic understanding of web development concepts (frontend/backend, databases)
A free or paid Supabase account
A code editor (VS Code recommended)
Node.js installed
No prior experience with AI agents or MCP required - this will be taught from the ground up
Willingness to follow along and build the project step-by-step
Description
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.
Who this course is for
Developers who already know the basics of coding and want to leverage AI agents to build faster
Freelancers and indie hackers who want to ship full-stack apps solo using an AI "team"
Software engineers curious about agentic AI workflows and Claude Code specifically
Technical founders and product builders who want to prototype and ship MVPs quickly
Anyone familiar with AI coding tools (Cursor, Copilot, ChatGPT) who wants to go deeper with subagents and MCP
Not ideal for absolute beginners with zero coding or command-line experience
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