Overview
You're not learning to prompt — you're learning to lead an engineering team that happens to be made of agents. This intensive takes you across the full software lifecycle: turn a messy brain dump into a phased, spec-driven roadmap with OpenSpec, then stand up autonomous workers behind a test pipeline and pre-commit gates where nothing merges until it passes. You'll orchestrate specialist agents working in parallel — coordinating over files and Matrix, with a release-manager agent handling the merges — while you stay the senior engineer, gating everything with checklists, automated security review, and prompt-injection filtering. Give your agents persistent memory that self-corrects from its own failures, kill recurring bugs for good with TDD and Playwright E2E, and run the whole team from your phone. You leave shipping real software, not demos — with control at every checkpoint.
Where This Class Leads
What you leave able to do
- produce a list of where untrusted input enters a system
- characterise an applications injection surface
- verify model written code against its specification
- verify a program does what you claimed with a test
- design a review gate that catches what the doer cannot see
- synthesise an accountability regime for an unattended agent
- synthesise an agent that carries notes across its own runs
How you show it. Paired runs of the same multi-step task with the note store kept and cleared, where the cleared run repeats a step the noted run skips, plus the note text the agent wrote and the later turn that cites it.
It sits on one path
🤖 Build production AI systems from prompt to deployment. 11 of 13 after Production Agent Engineering · before Agentic AI Security: Securing What You BuildAbout 40 hours of practice sit behind this one. See what your hours buy.
Join Us
- Your seat in the class
- Lifetime access to materials
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Contact us: liz@themultiverse.school