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408 posts on AI agents, the laws and asymmetries that shape how we build, and lunch-break physics. Search, filter by tag, or start with a series.

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2026

  1. The Service Catalog Pattern for AI Agents

    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. AW…

    ServiceDiscovery Ā· Governance Ā· AmazonBedrock

  2. Your AI Judge Needs a Judge

    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 Husain’s ā€œcritique shadowingā€ met…

    AI Ā· LLMEvals Ā· AmazonBedrock Ā· AIQuality

  3. Announcements Fade. Experiences Stick. — My AWS Summit Hamburg 2026 Recap

    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 peo…

    AWSSummit Ā· Hamburg Ā· AgenticAI Ā· Speaking

  4. Cognitive Debt: The Hidden Cost of AI-Generated Code

    The Code Nobody Understands Here’s a pattern I’ve seen across multiple teams: a data pipeline ships, built almost entirely by an AI coding agent. Clean architecture. Full test coverage. Passes every r…

    AI Ā· SoftwareEngineering Ā· TechnicalDebt Ā· Architecture

  5. HTTP 402: The 30-Year Placeholder That AI Agents Finally Activated

    TL;DR: HTTP 402 ā€œPayment Requiredā€ has been reserved since 1997 without ever getting a standardized payment mechanism, because humans can’t approve per-page charges fast enough. AI agents can. The x40…

    AI Ā· AIAgents Ā· Payments Ā· HTTP

  6. The AI Content Pipeline: How I Publish 3x a Week Without a Content Team

    Most technical professionals have the same problem. You have ideas. Good ones. You see patterns in your work, learn things worth sharing, form opinions backed by experience. But the distance between ā€œā€¦

    AI Ā· Content Ā· AIAgents Ā· Productivity

  7. 8 AWS Guides for Agentic AI — Mapped to the 4 Pillars That Get You to Production

    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 deplo…

    AI Ā· AIAgents Ā· AWS Ā· AmazonBedrock

  8. What a 2012 Management Book Taught Our AI-Era Team

    The Workshop That Surprised Me Lencioni’s six questions that create organizational clarity. A few weeks ago, our leadership team spent a day in a workshop. No slides about AI strategy. No architecture…

    Leadership Ā· TeamBuilding Ā· Books Ā· OrganizationalHealth

  9. Intelligence Is About Time, Not Parameters

    The Question Every SA Gets Beyond a complexity threshold, larger models become less insightful, the savant regime. ā€œWhich model should I use?ā€ I hear it in almost every customer conversation about gen…

    AI Ā· Inference Ā· Models Ā· Architecture

  10. The Post-Agile Operating Model: How AI Changes How Teams Ship

    The 7x Gap Last month at the AI Engineer Summit, McKinsey presented findings from a survey of roughly 300 enterprises. The headline number was sobering: most organizations see only 5–15% productivity …

    AINative Ā· SoftwareEngineering Ā· Agile Ā· OperatingModel