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AI

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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The disappearing human: Designing GenAI without losing the relationship layer

It’s fascinating to hear which tasks people want to delegate to AI. Some time ago, during a discussion about GenAI ideas, I asked one question that completely changed the room: “What happens if the other person also comes with an AI partner?” Silence. That silence matters - because it reveals an unspoken assumption behind many GenAI use cases: we design automation as if there will always be a human on the other side. GenAI doesn’t only change workflows. It changes relationships - because many automation ideas assume a human counterpart... until that counterpart shows up with their own AI. And [...]

By |2026-03-12T13:59:56+01:0012 March 2026 |Categories: AI, Business strategy|Tags: , , |0 Comments
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Four signals that quietly changed the AI landscape this month

The last month brought several AI announcements that look unrelated on the surface. Music, smartphones, chatbots, and video. Together, they point to a deeper shift: AI is no longer experimental. It is becoming infrastructure. First, The Eleven Album marked a turning point for generative creativity. A full, studio-quality album was released using AI as a creative partner, not a replacement. Artists stayed in control of authorship and rights. The real signal is not the music itself, but the model it introduces: permission-based creation paired with built-in licensing. This is how creative AI scales without breaking the industry that feeds it. [...]

By |2026-02-03T23:18:05+01:003 February 2026 |Categories: AI|Tags: , , , , |0 Comments
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AI Is forcing a new Buy vs Build decision in enterprise software

Better AI models have changed how I use software. The interesting part is not the tools themselves, but the decision logic behind them. Features I used to pay for are now solved by general-purpose models. Grammar fixes, image editing, research, and simple analytics can often be done faster and cheaper without dedicated SaaS tools. This matters because most SaaS products still sell features, not outcomes. When a feature can be replicated with an LLM in hours, its standalone value collapses, especially during renewal cycles. That is when finance asks a simple question: what business outcome justifies this subscription? I see [...]

By |2026-01-27T12:45:23+01:0027 January 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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Your Agent Has Admin Access. Nobody Asked For That. (Jan 14, 2026)

The first agentic security standard just dropped. Most deployments already fail it. OWASP published in December 2025 the world's first Top 10 for Agentic Applications, peer-reviewed by over 100 security experts. According to a Dark Reading survey, 48% of cybersecurity professionals name agentic AI the top attack vector for 2026 — yet only 34% of enterprises have AI-specific security controls in place. In enterprise agentic deployments, the most dangerous failure modes are not external attacks. They are gradual privilege escalation from inside. One question consistently separates controlled deployments from high-risk ones: does the agent have its own isolated managed identity, [...]

By |2026-03-17T09:20:05+01:0014 January 2026 |Categories: AI|Tags: , |0 Comments
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