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Agentic AI

When AI Starts Running the Room: Five Signals From the Week of May 5, 2026

Something shifted this week. The stories aren't about AI getting smarter in a lab. They're about AI getting smarter inside your infrastructure, your vendor contracts, your security perimeter, and your cost centers — simultaneously. The organizations that treat these as separate topics will spend the next quarter firefighting. The ones that read them as a single operating-model shift will move first. The Timeline to Autonomous AI R&D Just Got a Number Jack Clark — Anthropic co-founder and one of the field's most credible forecasters — published a detailed argument this week assigning a 60%+ probability that fully autonomous AI R&D [...]

By |2026-05-07T22:16:33+02:007 May 2026 |Categories: AI Signals|Tags: , , , , , |0 Comments
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The Hammer Always Fits: When AI Becomes the Only Tool in Your Developer’s Toolbox

The productivity gains from AI coding tools are real. So is the quiet erosion happening underneath them. Enterprises are deploying Copilot, Claude, and Cursor across engineering teams, measuring code velocity, and calling it a win - while the engineering judgment those tools depend on slowly atrophies. This isn't a story about AI being bad. It's a story about what happens when an organization normalizes reaching for the most powerful tool regardless of what the problem actually is. When a Screenshot Becomes an Integration Strategy In one of the engagements, I watched a developer demonstrate how an LLM-based agent could "interact" [...]

By |2026-05-06T22:10:16+02:006 May 2026 |Categories: AI in Practice|Tags: , , , |0 Comments
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From writing code to writing intent: Where are You in the 2026 Agent shift?

Half of Spotify ’s pull requests are already generated automatically. Not as a demo. Not in a prototype. In production engineering workflows. That number made me rethink how software development is changing. Looking at today’s models and what they can do, I keep wondering how organizations are adjusting software development to this new reality. I have spent more than two decades delivering software. And I do not remember a time when it has been this easy to build - and iterate toward - a working solution that creates real business value. The democratization of software development Not long ago, building [...]

By |2026-03-12T14:03:08+01:0012 March 2026 |Categories: AI, Business strategy|Tags: , , , , |0 Comments
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Goose, MCP, and AGENTS.md: The emerging foundation of Agentic AI

Most leaders track Anthropic’s MCP and OpenAI’s AGENTS.md. Very few have noticed Block’s goose framework. I hadn’t either. And I’ve been working with AI systems for years. Goose was released in early 2025. It is an open-source, local-first agent framework. At first glance, it looks like “just another agent framework.” It isn’t. Goose combines language models, extensible tools, and standardized MCP-based integration into a single execution environment. What matters is the intent behind it. This is not about clever prompts or impressive demos. It is about structure, reliability, and control. In other words: how agentic systems behave when they are [...]

By |2026-01-21T13:40:19+01:0021 January 2026 |Categories: AI|Tags: , |0 Comments
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