Artificial Intelligence|Published: Apr 10, 2026
Cognitive Debt: The code nobody understands
AI-generated code creates cognitive debt as developers accept code they don't understand. Learn how this hidden risk threatens teams and how to fight back.
Artificial Intelligence|Published: Apr 10, 2026
AI in the SDLC: Faster or Just Busier?
As AI accelerates code generation, many teams are discovering that speed gains often come with hidden costs in review, validation, and complexity. We sat down with Krzysztof Romanowski to unpack what’s really happening inside modern engineering organizations.
Artificial Intelligence|Published: Apr 7, 2026
Your README Is a Lie
Open any README in your repository. That flagship one. The one that's 800 lines long with a "Getting Started" section written in 2022. Read it with fresh eyes - as if you were a new developer, or better yet - as an AI agent who's never been to a standup, never seen Slack, never heard the legend of why we don't touch the InvoiceReconciler class in the payment service. Now ask yourself one question: based on this README, can you safely modify anything in this service?
Artificial Intelligence|Published: Mar 31, 2026
The Ferrari Engine in a Fiat 500
You've probably heard about the first METR study from July 2025 - it made the rounds at every conference and every newsletter. 16 experienced open-source developers, a proper randomized controlled trial (not a vendor survey), and the result: 19% slower with AI. In this article, Artur argues that the problem lies in the environment, not the model. Read on to find out exactly.
Artificial Intelligence|Published: Mar 25, 2026
GitHub All-Stars #16: Project N.O.M.A.D. - Civilization in a Docker Container
Welcome to GitHub All-Stars, our biweekly series where we pick a trending or freshly minted open-source project and put it under the microscope. We focus on new, relatively unknown gems - not another breakdown of the latest React release (because let's be honest, the world has enough of those). This time, we're looking at a project that lives at an unusual intersection of prepper culture, self-hosting enthusiasm, and edge computing philosophy. And it just exploded on Hacker News.
Artificial Intelligence|Published: Mar 25, 2026
AI and the Future of Monorepos: An interview with Piotr Kukiełka
For years, the industry moved away from monorepos toward microservices and smaller repositories. Recently, however, the conversation has started to shift again - and AI may be one of the reasons. As AI tools become part of everyday development workflows, the way engineers interact with large codebases is changing. Piotr Kukiełka shares his perspective on how large codebases work in practice and why AI might influence how companies think about monorepos.
Artificial Intelligence|Published: Mar 25, 2026
Monorepo in Enterprise: Security, Myths, and Real Benefits
Monorepo keeps coming up in conversations about large-scale software architecture. For some organizations, it’s a way to bring order to a growing ecosystem of applications. For others, it raises a lot of concerns. We spoke with Bartek Sądel, an expert who works with enterprise monorepos, about how this approach works in practice, what questions companies ask, and what the real benefits and challenges are.
Artificial Intelligence|Published: Mar 24, 2026
Interview with Artur Skowroński, Head of Application Development and the lead of the VISDOM project
What if the biggest blocker to AI-driven development isn’t the AI itself but everything around it? Artur Skowroński, our Head of Application Development, talks about the most common issues enterprises have stumbled upon over the last few years, and how VirtusLab is working to remove them. This is a sneak peek into VISDOM: a platform designed for a world where AI produces massive amounts of code, and organizations need a way to truly understand, trust, and manage it. Read on to discover how it all comes together.
Artificial Intelligence|Published: Mar 24, 2026
Secure by design for Agentic AI in Insurance
Learn how insurers can secure AI agent platforms through threat modeling frameworks like OWASP, MAESTRO, and MITRE ATLAS. This guide covers prompt injection risks, trust boundaries, and compliance with DORA and EU AI Act.
Artificial Intelligence|Published: Mar 11, 2026
GitHub All-Stars #15: jCodeMunch MCP - When your Agent stops reading and starts navigating
This is GitHub All-Stars - a series about open-source gems that deserve a closer look, before they become tomorrow's mainstream. Today, we're looking at a project that tackles what is arguably the most expensive waste in the entire AI-assisted coding workflow: context window abuse.
Artificial Intelligence|Published: Mar 10, 2026
Agents for Legacy Code migration
The traditional large, legacy system migration can cost multiple times the yearly company revenue and still yield limited versions of the original system functionality. However, with the help of AI, it can change. The migration process might become faster, cheaper, and smoother.
Artificial Intelligence|Published: Mar 6, 2026
How We Got FP16 GPU Tests Running on GitHub Actions - Without a GPU
This post is about the practical challenges of getting GPU-targeting code tested in environments without GPU hardware - specifically GitHub Actions. The project behind it uses Project Babylon / HAT (an experimental OpenJDK fork that compiles Java to GPU kernels), but the lessons apply to anyone doing OpenCL, CUDA, or heterogeneous compute work in CI.
