Why Your AI Agents Need Engineering Instead of Best Practices
I remain optimistic about the impact agents will have on knowledge work. As I noted in an earlier article, fields shaped by clear rules and mature systems, including accounting and…
NVIDIA’s Next Moves: A Practitioner’s Guide to GTC 2026
NVIDIA’s GTC 2026 conference, held March 16–19 in San Jose, delivered a sweeping set of announcements. The throughline across hardware, software, models, and partnerships is clear: NVIDIA is engineering a…
The Agentic Sweet Spot: Where AI Moves Fast and Humans Stay in the Loop
A recent Anthropic study on agent autonomy offers a clear preview of where knowledge work is headed. Anthropic analyzed millions of real interactions across their public API and Claude Code…
How Teams Actually Use RL to Make Agents Reliable
I have had a longstanding fascination with reinforcement learning (RL) and have monitored its slow diffusion from research labs into enterprise production. Much of the recent activity remains concentrated among…
What No One Tells You About Staying Employable in the AI Era
The Shift from Routine Execution to Spec-Driven Work Orchestrating Multiple AI Agents: A Skill That Won’t Stay in Software Engineering How to Protect Your Career When Your Output is Used…
The Honeymoon Phase Won’t Last: Preparing for AI’s Platform Shift
I am old enough to remember the early days of the internet. It was a time when blogs were everywhere and information felt decentralized. Before the giant platforms and their…
Something went wrong. Please refresh the page and/or try again.