Lee Crossley
Lee created this course and teaches every session live. He is a director and engineer at San Digital and an author of Production-Grade AI.
Built from software delivery, not tool demos.
Lee has worked in hands-on engineering, consultancy and technology leadership. He has delivered hundreds of software projects and worked as a start-up CTO. In larger organisations, his engineering governance roles carried accountability for the technical output of thousands of people.
He now advises large organisations on using AI in production software delivery. His work on Production-Grade AI covers the controls, evidence and engineering judgement needed after a promising demonstration.
That experience shapes the course. It focuses on deciding what a task means, setting limits, checking claims and changing course when the evidence demands it.
The exercises use small, realistic services rather than blank-page demos. Each one contains enough ambiguity or risk to require engineering judgement.
Short briefings, substantial practice
Clear task
You know what you need to produce and what evidence counts.
Room to work
Lee does not drive your tools for you. The point is to see how you make the decision.
Specific review
Feedback refers to your checks, final work and stated reasoning.
Useful debrief
The session ends with concrete practices you can use on the next engineering task.