Engineering at scale, without the theatre.
I write about the hard parts of engineering leadership: scaling teams, shipping software, adopting GenAI, and turning strategy into systems that work. This site collects practical essays, frameworks, and field notes from twenty years of delivering technology inside large organizations..
AI cost management is its own FinOps discipline, not an add-on. This is the VALUE framework I use to build enterprise programs: five components from visibility to evaluation-led optimization, plus the pitfalls, foundation layer, and practical tools that make it operational.
Framework for Orchestrated, Reviewed & Governed Engineering
An operating model for AI-augmented software delivery; covering requirements, planning, code review, deployment, and governance, end to end. Designed to let engineering practices adopt agents without trading away the long-term discipline that makes their software trustworthy.
Read the framework →Tie AI spend to the outcomes it creates
An operating model for getting enterprise AI spend under control. The VALUE framework covers five components from visibility to evaluation-led optimization, plus taxonomies, KPI frameworks, governance gates, agentic controls, and a 90-day implementation plan.
Read the framework →Own Your Growth, Nobody Else Will
A practical framework for taking control of your performance reviews, career progression, and compensation conversations. Five principles. One acronym. Twenty years of lessons learned.
Read the framework →