Blog
Where I share what I'm thinking about — technology leadership, AI, data, and the craft of building software. Written to be useful, not to fill a calendar.
Same AI tools, same speedup. One group runs out of tickets, the other runs out of hours. The gap is what you do with the time you get back.
Read moreCloudflare’s Birthday Week agent stack—Containers with snapshots, Issues→agent, and AI Gateway Auto Router—maps to sandbox lifecycle, incident handoff, and spend routing.
Read moreJimothy is a free beta for local-first AI agent pipelines—Linear, Jira, or GitHub in, plan/build/test/review out, and nothing ships until you approve.
Read moreOpenAI agents probed sites with SQLi and XSS when data pulls failed. The FTC says “the AI did it” is not a defense. Audit logging and action constraints are now a legal requirement for production agents.
Read moreInformation is no longer scarce. Advantage now sits in systems that decide, act, and stay governed under uncertainty—agents, evals, oversight, and production reliability—not who has the most documents.
Read moreIf you have to bark a direct order, the failure usually happened earlier. Mission, plan ownership, decision training, and real support are what make decentralized command work—for teams and for agent systems.
Read moreAsk an AI to pick a number from 1 to 30 and 17 appears suspiciously often. That small quirk reveals a much bigger lesson about how language models work.
Read moreA successful AI demo proves possibility. Production requires a bounded workflow with ownership, evaluation, authority, observability, and a fallback.
Read moreSchool taught many of us that mistakes cost points. Effective teams treat bounded mistakes as information, then turn that information into better decisions and systems.
Read moreGraph engineering gives AI a trustworthy map of business entities, relationships, provenance, and time. A practical guide to building the context layer beyond vector search.
Read moreCode review is not only a bug-catching gate. It is how a team understands, accepts, and retains ownership of every change entering its codebase.
Read moreBefore an AI agent touches real work, define its owner, outcomes, authority, access, evaluation, and offboarding plan.
Read moreManual cloud changes feel fast until you need repeatability, accountability, or compliance evidence. Build the smallest paved road early.
Read moreThe honest signals that say it's time to bring in executive technology leadership — and the moments when it's premature.
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