TL;DR: My AWS colleague Dennis Traub made the case that Domain-Driven Designās Ubiquitous Language is now critical infrastructure for AI agents. I want to take that one layer up, into architecture. Afā¦
2026
TL;DR: Patrick Debois coined DevOps in 2009 by naming what practitioners were already doing. In 2026, heās doing it again with āContext Engineeringā and the CDLC (Context Development Lifecycle): Generā¦
TL;DR: I prepared my AWS Summit Hamburg talk through 6 recorded dry runs, each analyzed by a structured AI skill. The skill transcribes via Amazon Transcribe, counts fillers with word-level timestampsā¦
TL;DR: Michael I. Jordan, the man Science magazine named āthe worldās most influential computer scientist,ā has never considered himself an AI researcher. His thesis: intelligence is not a property ofā¦
TL;DR: AI agents face the same discovery problem microservices solved with service registries a decade ago, except agents need semantic search, governance workflows, and dynamic capability updates. AWā¦
TL;DR: Most teams I see ship LLM judges without testing them against human labels. The result: judges that are confidently, consistently wrong on 30%+ of cases. Hamel Husainās ācritique shadowingā metā¦
TL;DR: AWS Summit Hamburg 2026 was two days of community, conversations, and agentic AI everywhere. My talk on production challenges landed well, the question that stuck was about getting business peoā¦
The Code Nobody Understands Hereās a pattern Iāve seen across multiple teams: a data pipeline ships, built almost entirely by an AI coding agent. Clean architecture. Full test coverage. Passes every rā¦
TL;DR: HTTP 402 āPayment Requiredā has been reserved since 1997 without ever getting a standardized payment mechanism, because humans canāt approve per-page charges fast enough. AI agents can. The x40ā¦
The Gap Between Demo and Deployment TL;DR: AWS released 8 prescriptive guides for building production-ready agentic AI. This post maps each guide to the four pillars that get agents from demo to deploā¦