2026
- The Matryoshka of Humans in the Loop
TL;DR: Amazon Mechanical Turk closed on 30 September 2026. Its own tagline, โartificial artificial intelligence,โ is a useful lens for what came after it, because the human-in-the-loop never left the โฆ
- Foundations of Agent Authorization
TL;DR: Agent authorization looks like a scary new frontier, but almost all of it is OAuth 2.0 and OpenID Connect, the same flows that already sign you into web apps. Once you can tell apart the three โฆ
- Every Catalog Wants to Be an MCP Server
TL;DR: AWS just shipped an open-source MCP server for the Registry of Open Data โ 1,100+ datasets from 400+ organizations (NASA, NOAA, NIH, the Allen Institute), now discoverable by asking your AI โฆ
- Scrawl: Building a Tool for Humans and Agents
๐ฌ Also available as a blog walkthrough video with a narrated walkthrough. TL;DR: I watched someone present across half a dozen apps, drawing on screen to make their points, and I wanted the same โฆ
- MCP Strategies on AWS, Part 4: Governance in Code
TL;DR: The governance pillar of the AWS MCP guidance has the best whiteboard story in the whole document, so I made it runnable. The story: an admin asks an agent to clone a production database, the โฆ
- Weekly Review โ June 15-21, 2026
๐ฌ Prefer to watch? This weekโs review is also a narrated video walkthrough. TL;DR: Six posts this week, and most of them do the same thing: take guidance or a principle and turn it into something you โฆ
- MCP Strategies on AWS, Part 3: Hosting, from Local to AWS
TL;DR: The AWS MCP guidance frames hosting as a ladder: local first, then remote, then a managed gateway. This post walks all three with code. The local rung is a stdio server with no auth, run as a โฆ
- MCP Strategies on AWS, Part 2: Tool Design in Code
TL;DR: The AWS Prescriptive Guidance paper on MCP gives the most useful, checkable rules in its tool-design section, so I wrote code to test them. A token-tax counter on a realistic 20-tool GitHub โฆ
- MCP Strategies on AWS, Part 1: Reading the Whole Guide
๐ฌ Also available as a blog walkthrough video with narrated diagrams. TL;DR: AWS published a Prescriptive Guidance paper, โModel Context Protocol strategies on AWS,โ that organizes MCP into three โฆ
- CLI vs MCP, Part Two: The First Gap Just Closed
TL;DR: In March I argued the CLI vs MCP debate was the wrong debate, and that the CLIโs advantages were a temporary artifact of training data, not a law of physics. One of those advantages was โฆ
- The Agent Security Stack Nobody Is Building
The Scenario Nobody Planned For Itโs 11 PM. Your customer support agent, the AI one, is processing a refund request. It queries the order database, pulls the customerโs payment history, and calls the โฆ
- MCP Sampling & Elicitation: When Servers Talk Back
From Request-Response to Collaboration When I wrote about the CLI vs MCP debate [1], I focused on the infrastructure patterns underneath. But MCP itself has been evolving, and the latest additions โฆ
- From Cloud-Native to AI-Native: What Actually Changes
The Fifteen-Year Echo Fifteen years apart. Same stage. Different world. In 2010, Adrian Cockcroft stood on the QCon stage and told the audience that Netflix was running its entire business on a public โฆ
- The Protocol We Should Have Built for Humans
Namaste from 6,165 Meters I just summited Imja Tse (Island Peak, 6,165 meters) in Nepal. No Slack, no email, no MCP servers crashing in the background. Just ice, thin air, and the kind of clarity that โฆ
- CLI vs MCP: The Wrong Debate
The Zombie Processes and the 50GB Cache A few weeks ago, I noticed my MacBook was sluggish. I found orphaned MCP server processes that had failed to shut down cleanly, a problem Didier Durand โฆ
- ๐ ๐๐ฃ ๐ง๐ผ๐ผ๐น ๐๐ต๐ฎ๐ผ๐ - ๐ด๐ผ๐ ๐น๐ผ๐๐ ๐ถ๐ป ๐ฎ๐๐๐ต๐ฒ๐ป๐๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ด๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ?!
๐ ๐๐ฃ ๐ง๐ผ๐ผ๐น ๐๐ต๐ฎ๐ผ๐ - ๐ด๐ผ๐ ๐น๐ผ๐๐ ๐ถ๐ป ๐ฎ๐๐๐ต๐ฒ๐ป๐๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ด๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ?! Agentic coding has become reality for developers everywhere ๐. Tools like Anthropicโs Claude Code and Amazonโs Kiro are leading the charge, โฆ
- ๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time
๐ฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time โ๏ธ We need to balance Agency versus Control. We want AI systems to be super easy to use, read our minds, and just โฆ
2025
- ๐ ๐ฅ๐๐ฆ๐ง ๐ถ๐ป ๐ฃ๐ฒ๐ฎ๐ฐ๐ฒ - ๐ช๐ต๐ ๐๐๐ ๐ ๐๐ฎ๐ป'๐ ๐๐ฅ๐จ๐: ๐ ๐ฅ๐ฒ๐ณ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป
๐ ๐ฅ๐๐ฆ๐ง ๐ถ๐ป ๐ฃ๐ฒ๐ฎ๐ฐ๐ฒ - ๐ช๐ต๐ ๐๐๐ ๐ ๐๐ฎ๐ปโ๐ ๐๐ฅ๐จ๐: ๐ ๐ฅ๐ฒ๐ณ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป Yesterday I was listening to a talk by Martin Sakowski and Martin Karrer โREST in Peace - Why LLMs Canโt CRUDโ which sparked a lot of interesting โฆ
- Diving into designing multi-agent systems and got lost with all the different implementation options
Diving into designing multi-agent systems and got lost with all the different implementation options? MCP (x)or A2A?! - Heikoโs and Dr. Sokratis Kartakis (any way to mention you in here just by your โฆ
- Kind of an interesting twist in IT history: Did it need the advent of AI Agents
Kind of an interesting twist in IT history: Did it need the advent of AI Agents to drive developer friendly, standardized and discoverable interfaces to systems? Recently Model Context Protocol (MCP) โฆ