Metrics Blog

• Can we force LLMs to generate the code we really want? June 18, 2026
  Experiment design – from the paper Large Language Models (LLMs) are revolutionary for programming productivity, producing functional code snippets in seconds. However, as software engineers, my co-authors and I know that “functional” is not the same as “well-designed.” LLMs are generally “bottom-up” thinkers; they excel at local syntax but struggle to adhere to higher-level architectural […]
  Miroslaw Staron
• My prompt is better than your prompt – how to optimize your prompts in the age of agentic AI June 12, 2026
  Image generated by Gemini based on the content of this post https://arxiv.org/pdf/2605.19102 Getting Large Language Models (LLMs) to write functional code often feels like casting spells; a slight misphrasing in your prompt can result in a buggy output. This is even more important now that we have agents which work for days on our tasks. […]
  Miroslaw Staron
• 15 years of Software Center – A Look in the Mirror and over the Front Windshield June 10, 2026
  Image source: Gemini, based on the summary of this blog post. When I write this post, I’m sitting at a reporting workshop of Software Center, at Axis Communications in Lund. Jan has reminded us that we’ve been going on for 15 years. That’s most of my academic career and a lot of my life. Although […]
  Miroslaw Staron
• Junior Architects with Shaky Logic: Testing AI’s Real-World Coding Skills – article review June 5, 2026
  Image generated by Gemini based on the blog post content https://arxiv.org/pdf/2604.23340 We have all seen Large Language Models (LLMs) write impressive snippets of code or debug a tricky function. AI coding editors like GitHub Copilot are increasingly adopted, with studies suggesting that up to 88% of developers report increased productivity. But accelerations in development come […]
  Miroslaw Staron
• The Synthetic Engineer: Measuring the Real Impact of AI on Software Delivery May 18, 2026
  https://miroslawstaron.github.io/hallucinations.html#/5 The shift from manual coding to AI-augmented orchestration is no longer a future – it is a reality. Software engineers adopt AI increasingly often and increasingly deep. However, as organizations pour investment into Generative AI tools, a critical question remains: How do we measure the true return on investment? I asked Gemini to analyze […]
  Miroslaw Staron
• From Gutenberg to Google and on to AI May 11, 2026
  Link to the book I’m often asked what invention I think is the biggest in human history. I do not have one that is the biggest, but I have a short list: 1) Writing – once we learned how to codify knowledge, our progress accelerated tremendously 2) Computing – once we learned how to make […]
  Miroslaw Staron
• VECS 2026 — The Era of the AI-Defined Vehicle May 5, 2026
  The VECS 2026 conference in Gothenburg has made one thing clear: the transition to Software-Defined Vehicles (SDVs) is no longer a future prediction—it is accelerating rapidly toward total market dominance. I’ve been to both days and it seems that the best time for software is NOW! For a nerdy software engineer like me, this conference […]
  Miroslaw Staron
• Can You Trust GPT with Your System Design? Testing AI’s Architectural IQ March 30, 2026
  Image by Vinson Tan ( 楊 祖 武 ) from Pixabay https://ieeexplore.ieee.org/document/10978937 We’ve all seen Large Language Models (LLMs) write impressive snippets of code or debug a tricky function. But can an AI actually understand the soul of a system? Can it explain the “why” behind a complex architectural decision? The paper, “Do Large Language Models Contain Software […]
  Miroslaw Staron
• GenAI: The Architect’s New Brainstorming Buddy, Not a Replacement March 23, 2026
  https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11015085&casa_token=5hSfww3AlwIAAAAA:eTn9d1W-p95CJtxwAcvPft_bWZB9R8i6P-d1IZBln6MmSF-En1Q4vKdgbejF8w2klKZYeX1VZx4&tag=1 For years, software architects have operated in an “automation gap.” While developers enjoy robust CI/CD pipelines and automated testing, architects have largely relied on manual whiteboarding and expert intuition. With the rise of Generative AI (GenAI), many wonder: Is the gap finally closing? In this paper, researchers provide a reality check. Their verdict? GenAI […]
  Miroslaw Staron
• Is Your Microservice Architecture Causing Heartburn? The Cost of Static Chaos on Runtime Speed March 16, 2026
  BIld av stux från Pixabay https://cs.gssi.it/catia.trubiani/download/2025-ICSA-Correlation-Architecture-Performance-Antipatterns.pdf In the world of microservices, we often chase the dream of independent deployment, rapid scaling, and resilient services. We focus on the dynamic—the Kubernetes pods autoscaling, the latency spikes, the load balancer metrics. We assume that if we have a robust runtime, our architecture is sound. But this study […]
  Miroslaw Staron