You don't need to know how to code to start. Open a terminal, install one tool, and build a real web app — using AI agents to write every line. By the end, you'll have a live project on the internet you built with your brain and an AI's hands.
What You Build
A complete web app designed, prompted, and deployed entirely with AI coding agents
Sections
Lessons
Estimated
Concepts
Mastering Your AI Agent Harness
Your AI coding agent is running at 30% capacity. This course installs Everything Claude Code — 28 agents, 125 skills, 60 commands — and teaches you to use rules, hooks, subagents, MCPs, and token optimization to ship 10x faster.
Factory Leadership: Teams, Culture & Strategy
For CTOs, engineering managers, and team leads. Learn how to restructure teams into builder pods, measure factory output instead of story points, invest in skills as competitive moat, and create a culture where 5 people ship what 50 used to.
PyTorch from Zero to Production
The framework that powers Tesla Autopilot, Meta AI, and most ML research. Start with tensors, build CNNs and Transformers from scratch, then deploy your model as a production API. Every lesson has a hands-on notebook.
LLM Orchestration & RAG Systems
The skills every AI engineer needs: retrieval-augmented generation, vector databases, embedding pipelines, multi-step agents, and function calling. Build a production RAG app from scratch with evaluation and monitoring.
DevOps & Engineering Methodologies
From Docker containers to Kubernetes orchestration, GitHub Actions CI/CD to canary deployments. Plus the engineering practices that make teams fast: trunk-based development, feature flags, SLOs, and blameless post-mortems.
Software Architecture & Design Foundations
The decisions that matter most are the ones that are expensive to change. Learn monolith vs microservices, SOLID, DDD, event-driven architecture, CQRS, API design, database architecture, caching, and security. Write ADRs that future you will thank you for.
Full-Stack Development
Build a complete SaaS from zero: React, Next.js, TypeScript, Prisma, PostgreSQL, NextAuth, Stripe payments, transactional email, Tailwind + shadcn/ui, testing with Vitest + Playwright, and deploy to Vercel. Every lesson ships something real.
Alex (Primary)
conversational · energetic
First 5 lessons are free (38% of the course). No login required.
The Software Factory
A paradigm where developers stop writing code by hand. AI coding agents implement features and fix bugs while humans design, architect, and improve the factory itself.
Traditional Workflow Problem
The conventional software development lifecycle with specialized roles running 2-week sprints. Handoffs are the bottleneck — each one adds waiting time and context loss.
AI Coding Agents
Autonomous software agents (Claude Code, Stripe Minions, Gas Town Polecats) that read codebases, write code, run tests, and open pull requests with minimal human interaction during execution.
Spec-Driven Development
Writing clear, structured specifications that AI agents can execute on, replacing the traditional ticket → code → review cycle. The spec is the new unit of work.
The Builder Role
The evolution from specialized roles (frontend dev, QA, BA) to generalist builders who all contribute to the product. Expertise becomes a superpower, not a job boundary.
Backpressure
Automated feedback systems (type checkers, linters, test suites, build systems) that keep agents on track. Without backpressure, you review trivial mistakes. With it, agents self-correct.