Dear Boss,
Our team already writes a lot of code with AI coding agents. The volume is up. So is the work around it. Someone has to review every pull request an agent opens, catch what it got wrong, and steer it back when it drifts. Much of the time we save on typing goes into checking the output.
Faster agents won't fix that. It is an engineering problem, and the fix is a system around the agent.
Without that system, coding agents carry real costs:
- Senior engineers spend their days reviewing agent output instead of doing design work
- Quality depends on who was watching the agent that day
- Agents make changes without knowing our domain, our past decisions, or our standards
- Token spend grows while nobody can say what it bought
- Our codebase gets harder to change with every shortcut that slips through
That's why we're asking for seats in Software Factories for Real Engineers, a 2-week cohort taught by Matt Pocock.
What the cohort covers
The cohort teaches engineers to build a software factory. That is a setup where an agent takes a well-specified ticket, does the work inside guardrails, and comes back with clean code and a pull request worth reviewing. It is built for teams with an existing codebase and a budget.
Across seven workshops and 59 lessons, we would learn:
- How to write down our domain language and architecture decisions, so every engineer and every agent works from the same record
- How to plan work that is too big for one agent session, and break it into tickets an agent can finish
- How to review agent work with automated code review, and run a retrospective on each run
- How to reshape a legacy codebase so agents can change it safely, with clear module boundaries and tests
- How to build feedback loops that reject bad code automatically: coding standards, custom lint rules, a graded test suite, and browser checks
- How to run agents unattended in a sandbox, with secrets and permissions under control and the build step separated from the review step
- How to feed the factory from a ticket queue or a schedule, and work through several tickets in parallel
Every seat includes live office hours with Matt Pocock, lifetime access to the lessons, transcripts and subtitles, progress tracking, a completion certificate, and access to the AI Hero Discord community. The cohort asks for about 5 to 8 hours a week.
Why this matters for our team
- Engineers get their time back. Routine tickets go to the factory. People spend their hours on design work and on the reviews that need judgment.
- Quality stops depending on vigilance. Hooks, lint rules, and automated review enforce our standards on every change, whoever or whatever wrote it.
- Knowledge stops living in people's heads. A shared glossary and decision records help new hires as much as they help agents.
- The codebase improves instead of decaying. Refactors and cleanups we never find time for become work we can delegate.
- AI spend becomes accountable. Work goes in as tickets and comes out as reviewed pull requests, so we can see what the tokens bought.
About the instructor
Matt Pocock is a widely respected engineer and educator. He created Total TypeScript and has taught thousands of professional developers, including thousands of engineers in earlier AI Hero cohorts. He built and battle-tested the software factory this cohort teaches. His teaching is practical, code-focused, and grounded in real engineering instead of hype.
The investment
The cohort is a one-time purchase per seat, with a team option at checkout and a customizable invoice for expensing. If you'd like to support our development as a team and improve how we work with AI tools, please visit Software Factories for Real Engineers to purchase seats.
We are happy to answer any questions and would love to discuss this further.
Thank you for considering this investment in our team's capabilities.
Your team