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Matt Pocock – Software Factories for Real Engineers
Software Factories for Real Engineers by Matt Pocock is a practical training program designed to help developers build AI-powered software factories that can handle development tasks while maintaining engineering standards. Instead of focusing only on making AI agents code faster, the program emphasizes using software engineering fundamentals to control agent behavior, improve code quality, and create reliable development workflows. The two-week cohort is designed around building a software factory that fits a developer’s own codebase, team, and requirements. 【turn217407search0】【turn217407search7】
Build Your Own AI Software Factory
A software factory connects AI agents, project context, development standards, and automated checks into a coordinated workflow. Rather than manually guiding every step, developers can create a system that receives tasks, understands requirements, makes code changes, and prepares work for review.
The program explores how to design this type of system and adapt it to real engineering projects.
Establish Strong Engineering Foundations
AI agents can generate code quickly, but speed alone does not guarantee reliable software. The course emphasizes the importance of establishing clear constraints and quality standards before increasing automation.
Key topics include codebase design, Domain-Driven Design (DDD), ubiquitous language, mutation testing, and automated review. These engineering practices help create stronger foundations for agent-driven development. 【turn217407search0】
Improve Automated Code Review And Testing
A reliable software factory needs ways to identify problems before changes reach production. Automated checks and review processes help detect errors, enforce standards, and evaluate whether generated code meets project requirements.
The program explores how mutation testing and automated review can strengthen quality control, while feedback loops help agents learn from failed checks and improve their output.
Design Better Agent Workflows
Managing AI agents requires more than writing prompts. Developers need to provide useful context, define clear tasks, establish completion criteria, and determine when human review is necessary.
The training focuses on designing these workflows so agents can complete development tasks with greater independence while keeping engineers involved in important technical decisions.
Develop System Design And Infrastructure Skills
Building a software factory also requires understanding how its different components fit together. Participants explore system design and infrastructure planning as part of creating a working factory.
The goal is to develop a practical specification that can guide an AI agent through the development process while reflecting the architecture and standards of the actual project. 【turn217407search0】
Learn Alongside Other Engineers
The program follows a cohort-based format, giving participants an opportunity to learn alongside a community of developers. This provides a shared environment for exploring engineering practices, discussing implementation challenges, and developing individual software factory systems.
Who This Program Is For
Software Factories for Real Engineers is designed for software engineers, experienced developers, technical founders, and professionals who want to use AI agents in production-oriented development. It is particularly relevant to people who want to move beyond basic AI coding and build systems that prioritize maintainability, testing, and engineering quality.
Final Thoughts
Matt Pocock’s Software Factories for Real Engineers focuses on combining AI automation with established software engineering principles. Through codebase design, automated review, mutation testing, feedback loops, and system design, the program helps developers work toward building software factories that can support reliable development at scale.
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Name of course: Matt Pocock – Software Factories for Real Engineers
Original Price: $1295| Sale Price: $40
Delivery Method: Instant Download (Mega)