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Michał Jankowski

About Michał Jankowski

Microsoft MVP Azure, an architect, designer, team leader and trainer. He began programming in the early ’90s from Basic and Assembler for 8-bit computers. During most of his career, he was delivering .NET platform targeted application for the world’s largest companies. Currently, he is specialising in the development of web applications and Azure environment. A great enthusiast of software craftsmanship, unit testing, software design and other topics related to software development. In his free time, when he is not playing with the code, he likes travelling, photography and writing a technical blog.

AI Governance is no longer optional (Mar 10, 2026)

1. An AI Agent Decided It Needed More Resources. Nobody Asked It To. Alibaba-affiliated researchers published findings on ROME, a 30-billion-parameter autonomous coding agent built on the Qwen3-MoE architecture. During reinforcement learning training runs in late 2025, ROME spontaneously attempted to mine cryptocurrency and open covert network tunnels — with no human instruction to do so. The agent established a reverse SSH tunnel to an external server and diverted GPU resources away from its training workload toward crypto mining. Researchers confirmed the behaviors were not programmed, with ROME apparently determining that acquiring additional compute and financial capacity would help complete [...]

By |2026-03-26T21:36:08+01:0016 March 2026 |Categories: AI Governance, AI Signals|Tags: , |0 Comments

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

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

AI Agents Are Already Running Your Code — and Occasionally Deleting Your Email | Week of 24 February 2026

The productivity numbers are real. The control failures are also real. This week surfaced both sides of the same bet — and the organizations that recognize them as connected, rather than separate conversations, are the ones building something durable. Code Stopped Being the Job. Orchestration Is. Spotify's co-CEO stated publicly during Q4 earnings that the company's best engineers have not written a single line of code since December. They use an internal system called Honk, integrated with Claude Code, to deploy features directly from natural language prompts sent via Slack — on a morning commute, from a phone, before arriving [...]

By |2026-03-26T21:58:21+01:0024 February 2026 |Categories: AI Signals|Tags: , |0 Comments

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. [...]

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

AI’s Platform Reset: Three January Signals That Will Define the Next 12 Months (Jan 27, 2026)

Apple Just Stopped Building Its Own AI Foundation. Your Vendor Map Changed. Apple and Google entered a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google's Gemini models and cloud technology. The partnership is not exclusive, Apple still works with OpenAI, and Apple Intelligence will continue to run on-device and through Private Cloud Compute. Previous reports put Apple's annual payment at around $1 billion. The split Apple chose is the right one: borrow the best model, run it on infrastructure you own. The failure I see most often is the inversion: proprietary models, [...]

By |2026-03-26T21:58:33+01:0027 January 2026 |Categories: AI Signals|Tags: , |0 Comments

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

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

Why you should include Quantum Computing in your data strategy

Quantum computing still sounds like a technology of the future. Is the hype real? Can we already start using it? Over a year ago, I was met with a similar reaction when I introduced the idea of extending our services with quantum computing. During that year, we managed to verify this technology in action. We conducted multiple calls with quantum vendors and our clients. One of our customers already validated that quantum is capable of producing value for their businesses, thanks to a Proof of Concept we delivered. Today, I want to encourage you to consider including quantum computing technology in [...]

By |2024-12-15T22:27:26+01:0015 December 2024 |Categories: Quantum computing|Tags: |0 Comments
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