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Matt Pocock – Software Factories for Real Engineers is an intensive engineering course designed to help developers build reliable AI-powered software factories capable of shipping code at scale. The program focuses on applying traditional software engineering principles to AI coding agents, enabling developers to delegate complex tasks while maintaining code quality, architectural consistency, and control over the development process.

Instead of simply making AI agents code faster, the course teaches students how to establish guardrails, automated checks, review systems, and feedback loops that allow agents to work more independently without compromising software quality.

What You’ll Learn

• Software Factory Architecture: Design an end-to-end system that allows AI agents to explore, implement, test, and review software changes.

• Codebase Design: Structure applications so both human engineers and AI agents can understand and maintain them.

• Domain-Driven Design (DDD): Apply domain language, business concepts, and architectural boundaries to improve AI-generated implementations.

• Automated Code Review: Build automated review processes that identify defects, architectural problems, and implementation mistakes.

• Mutation Testing: Validate whether your tests actually detect incorrect behavior rather than merely achieving code coverage.

• Engineering Guardrails: Enforce coding standards through tests, type checking, linters, hooks, and automated verification.

• Agent Feedback Loops: Create workflows where agents receive feedback, correct mistakes, and continue improving implementations.

• System Design & Infrastructure: Plan and implement the infrastructure required to run an AI-powered software factory.

Course Curriculum

The course is organized into 7 modules covering the complete process of building and operating an AI software factory.

Module 01 – Domain Language

• Define ubiquitous language for your application.

• Build and maintain a domain glossary.

• Document architectural decisions using ADRs.

• Use AI-assisted documentation workflows.

• Keep domain knowledge consistent across agents and developers.

Module 02 – Wayfinder

• Plan large engineering tasks beyond a single agent session.

• Break complex projects into manageable decision tickets.

• Map implementation paths and dependencies.

• Guide agents through structured implementation plans.

• Maintain clarity throughout long-running development.

Module 03 – Review

• Build automated code-review Skills.

• Implement standards-based and specification-based reviews.

• Create readable pull requests.

• Establish human review processes.

• Distinguish changes requiring approval from safe automated merges.

Module 04 – Codebase Design

• Improve codebase architecture for AI-assisted development.

• Create clear boundaries between modules.

• Design maintainable interfaces and abstractions.

• Establish coding standards and enforce them automatically.

• Make code easier for agents to navigate and modify.

Module 05 – Feedback Loops

• Build automated verification systems.

• Implement testing and quality checks.

• Use mutation testing to validate test effectiveness.

• Create continuous feedback mechanisms.

• Allow agents to diagnose and correct implementation failures.

Module 06 – Software Factory Part One

• Understand the architecture of a working software factory.

• Build automated agent workflows using GitHub Actions.

• Configure task execution and agent orchestration.

• Establish quality gates and verification processes.

• Connect implementation, review, and testing workflows.

Module 07 – Software Factory Part Two

• Design a software factory for your own codebase.

• Plan infrastructure and system architecture.

• Define automation components and responsibilities.

• Prototype different factory tasks.

• Build a specification for your own production-ready software factory.

Course Features

• 2-week intensive cohort.

• 7 structured workshops.

• Async lessons released on Day One.

• Live Office Hours.

• Recorded sessions and transcripts.

• Practical coding exercises.

• Example software factory repository.

• Discord community access.

• Lifetime access to lessons.

• Completion certificate.

• 30-day money-back guarantee.

Who Is This Course For?

Software Factories for Real Engineers is designed for developers who want to move beyond basic AI-assisted coding and build reliable systems for production software development.

It is particularly suitable for:

• Software engineers working with Claude Code, Codex, Cursor, or similar tools.

• Developers managing large codebases and complex engineering projects.

• Technical founders building software products with AI agents.

• Engineering teams seeking to automate implementation and code review.

• Experienced developers interested in agent orchestration and software architecture.

• Vibe coders who want to understand engineering fundamentals and build more reliable applications.

   

 

See More: Remy Gaskell – The AI Course

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