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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.
What You Build
A factory adoption playbook for your organization with team restructuring, metrics, and 90-day rollout plan
Sections
Lessons
Estimated
Concepts
Prerequisites
Dr. Maya Chen
lecture · formal
First 5 lessons are free (33% 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.
Skills
Markdown files that tell AI models how to perform specific tasks, optionally accompanied by extra documents and pre-written scripts. Skills extend what agents can do.
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.
Self-Improving Factory
A closed-loop system where agents monitor user feedback, analytics, A/B tests, error logs, and production data to populate the backlog without human curation.
The Factory Is the Product
The meta-insight that the factory itself compounds in value. Skills built, pipelines improved, and architectural decisions that make the codebase more agent-friendly all accumulate.
Real-World Factory Implementations
Production-grade software factories already operating at scale: Stripe Minions (1,300+ PRs/week), Gas Town (Kubernetes for agents), Karpathy's autoresearch, Linear + Cursor integration.