The Skills We Keep
A reflection on how AI changes the practice that builds technical judgment, and why the skills worth keeping need to be protected deliberately.
Thoughts and experiences with technology in practice, focused on where tools, systems, and human judgment intersect.
A reflection on how AI changes the practice that builds technical judgment, and why the skills worth keeping need to be protected deliberately.
A packed Microsoft Reactor panel reinforced that AI in software engineering is evolving faster than our practices can fully settle, making practitioner-level conversations about judgment, discipline, and real-world adoption more important than any single product announcement.
In this podcast discussion, we explore how enterprise software must evolve to treat AI agents as first-class users, requiring structured interfaces, intentional design, and built-in governance alongside human workflows.
Enterprise software is entering a new era where it must support not just human users, but agents that can participate directly in work.
For technology leaders: why AI coding agents demand a new engineering control model and how specification-driven development enables scale.
Great conversation at Microsoft’s Americas Enterprise Partner Accelerate on what it really takes to drive AI ROI. The organizations seeing results are focused less on technology choices and more on changing how people work with AI agents. Adoption, effectiveness, and trust matter more than demos.
CNBC Technology Executive Council Summit: 'Reinvent the Enterprise'. An engaging day of conversations with technology leaders exploring how AI is reshaping business, creativity, and the workforce.
This episode focused on what it really takes to move AI from pilots into production, with an emphasis on AI literacy, data quality, and disciplined execution. We discussed why metrics, guardrails, and thoughtful workflow design matter as much as the models themselves when operationalizing AI at scale.
I recently had the opportunity to join a GovExec webinar focused on how generative AI can help government agencies meet rising public expectations for service quality, responsiveness, and trust.