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VirtusLab's Articles

Artificial Intelligence|Apr 13, 2026

Interview with Krzysztof Grajek, Principal Software Developer at SoftwareMill and the lead engineer behind Visdom Governance

As AI tools take over more and more of the actual coding work, a new question emerges: who's watching what they do? Visdom Governance is a tool designed to bring that control back. Krzysztof Grajek, Principal Software Developer at SoftwareMill and the lead engineer behind Visdom Governance, talks about why the rise of AI-generated code demands a completely new approach to trust, auditability, and documentation.

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Artificial Intelligence|Apr 13, 2026

Visdom: Your CI is an Oracle... that lies too

This is post #3 in The Agent-Ready SDLC series. In post #1 we laid out the Ferrari-in-a-Fiat-500 problem - the engine is great, the chassis isn't. In post #2 we covered the first bottleneck: context. Now we're at the second bottleneck - the one that sits between your agent and reality.

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Artificial Intelligence|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.

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Artificial Intelligence|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.

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Business insights|Apr 9, 2026

Build or Delegate? The Hidden Cost of Developer Experience (DX)

As developer experience (DX) becomes a competitive advantage, many organizations are investing in internal platforms and tooling. However, building and maintaining DX capabilities in-house is costly and complex. This raises a key question: when should organizations manage developer productivity internally, and when is it more effective to engage external partners?

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Frontend Engineering|Apr 8, 2026

UX through a Frontend Developer’s eyes - practical UX protips for FEDs

Shipping a working interface has never been easier. Design tools, AI, component libraries, and modern scaffolding have dramatically lowered the barrier to getting something on screen. This article is a practical, hands-on collection of workflow improvements, UX patterns, and implementation-level pro tips - all from a frontend developer’s perspective. No lengthy theory lectures (though a few concepts need a quick explanation to make sense). Jump in and try these techniques in your own projects to measurably improve how your interface feels.

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Frontend Engineering|Apr 8, 2026

Making Interfaces Feel Fast and Intentional: UX Patterns Beyond Raw Performance

Your interface may look right in a static mockup - but users don’t experience static pages. They see content appear, load, and shift. Perceived performance often matters more than raw performance metrics. A page that loads in 800ms but shows a blank screen feels slower than one that takes 1.2 seconds but shows skeleton placeholders from the first frame.

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Frontend Engineering|Apr 7, 2026

Beyond the Mouse Cursor: Interaction Patterns for Touch and Assistive Technology

All the interactions discussed so far need to work across devices - and on mobile, they face a different set of constraints. More than half of all web traffic comes from mobile devices, yet many developer-built interfaces are designed cursor-first and touch-optimized as an afterthought. Mobile isn’t a smaller desktop - it has its own interaction model, constraints, and opportunities.

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Frontend Engineering|Apr 7, 2026

When TypeScript becomes the language of contracts. Specifying intent in practice.

Discover how TypeScript is becoming the language of intent, reshaping engineers into system designers who define contracts while AI handles code.

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Artificial Intelligence|Apr 7, 2026

Visdom: 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?

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Artificial Intelligence|Apr 3, 2026

SFT: Scaling Small Vision-Language Models for High-Load Invoice Processing

While API based LLMs are great for rapid, fast, and easy development, they can be less secure and costly in the long-term horizon for load-intensive applications. The solution are Small Language Models (SLM), self-hosted and finetuned on the downstream task. This article presents a case study of a Supervised Fine-Tuning (SFT) of the SLM on the Invoice Processing task. It shows that while SLMs have higher investment costs at start, they are faster, cheaper, and more secure in the long-term, especially for high-load intensive applications.

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Artificial Intelligence|Mar 31, 2026

Visdom: 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.

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