Matt Wynne

July 2026 Founding Cohort

Cohort 1

MO Friends Prototype

Engineers and engineering leaders who build, deploy, and scale software systems.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Using AI coding assistants and tools to write, review, and ship code faster.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Move from prompting AI to architecting trustworthy agentic systems


Cucumber co-founder, BDD pioneer

BDD pioneer, Cucumber co-founder, and creator of Example Mapping.

ex-General Assembly, XP agentic builder

Aldric Giacomoni

Agent-native builder and educator shipping production software with AI agents.

Coaching leaders through the AI era

Jeremy Lightsmith

Executive coach helping leaders navigate complexity in the AI era.

Ex-Pivotal/VMWare supply-chain engineer

Zach Marcin

eXtreme Programmer. Agent Wrangler. Knowledge sharer.

Build a Software Factory: Hands-off agentic coding for experienced engineers

Unemployed

Break down any User Story into small, manageable, slices that will flow smoothly through your team into production.

Co-facilitator

Steve Tooke

Slicing User Stories for Agile Teams

Software engineer

Technical coach 

Senior Software Engineer

Team Lead / Senior QA

You can get agents to write reams of code for you (some of which is even very good). But afterwards you're left with a backlog of PRs of varying quality which still require your full focus and attention. Does this mean you're destined for a future as "Code Reviewer in Chief"?Imagine a world where your agents consistently generate trustworthy output that you can deploy confidently without reviewing every line. A world where agents produce outcomes not just output.We have lived in this world and we want you to join us!This course is for you if you're:<ul><li> Spending as much time correcting the agents output as you would have spent writing it yourself </li><li>Working in a brownfield codebase with landmines all around</li><li>Drowning in agentic PRs</li></ul>Over four weeks you'll go from using your coding agent as a slot machine to architecting a reliable software factory.

Move from prompting AI to harness engineering

Reason about AI as a designable system, not a magic oracle

Turn repetitive workflows into reusable execution and review skills

Design context and retrieval so agents reach what they need

Manage a doer-reviewer loop with explicit contracts and exit criteria

Verify output with cross-model critics and external checks

Compose agents into observable, human-guided harnesses

Experienced, quality-conscious developers who already use AI but don't trust the output without reviewing every line.

Anyone who wants to see AI produce outcomes, not just outputs.

Anyone who has seen the potential in delegating work to agents and wants to do it more

Learn directly from Matt Wynne

Matt Wynne

Courses

Build a Software Factory: Hands-off agentic coding for experienced engineers

Lightning Lessons

Load human context: make the agent brief you on your terms