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Scala|Published: Apr 16, 2026

Comparing effect systems in Scala: Cats Effect and ZIO

The Cats library and the related Cats Effect were inspired by scalaz and scalaz-concurrent libraries (and, more broadly, by Haskell and its ecosystem). They represent the most widely adopted effect system in the Scala ecosystem. In this context, effects are values representing descriptions of computations that can be composed using typeclass-based abstractions like Functor, Monad, or Sync, as provided by Cats and Cats Effect. This approach promotes the use of pure functions and referential transparency - the principle that any expression can be replaced by its evaluated result without changing the program's behavior.

Scala|Published: Apr 15, 2026

Comparing effect systems in Scala: Kyo, Gears, and Ox

Kyo is one of the younger kids on the block - at the time of writing of this blogpost it has only reached its first release candidate for version 1.0. It is the brainchild of Flavio Brasil, a tenured Scala open source author and contributor who, in the past, created Quill, an SQL library based on Scala’s metaprogramming facilities and contributed to Twitter’s Finagle stack. Kyo attempts to take the idea of fused effects introduced in the ZIO monad and generalise it to provide a complete algebraic effects runtime and solve the “monads do not compose” problem at the same time. In practice, Kyo is also a purely functional, monadic solution but it’s built for the future and uses a lot of new features of Scala 3 to aggressively avoid allocations and inline common operations.

Artificial Intelligence|Published: Apr 15, 2026

Sandboxing LLM coding agents: part 1

LLM coding agents moved fast from cloud demos to tools running on developer workstations. They don't just suggest code anymore. They execute it. They start shells, install packages, edit repos, run tests, and sometimes open PRs. All with the same permissions you have. In the first part of the miniseries, Jakub Bocheński will look at Context, Motivation, and available sandboxing tools.

Scala|Published: Apr 14, 2026

Safe Scala: an introduction

AI agents are powerful: they can execute many day-to-day tasks thanks to their understanding of the surrounding context. That's what sets them apart from ordinary automations. However, they can also go wrong in various ways. That's why giving an agent free access to your computer might not be the best idea. For many reasons: starting with agent incompetence, where a "photo cleanup" request ends up with all of your photos permanently removed, instead of neatly organized into folders. There are several options for restricting the actions an AI agent can perform. Safe Scala provides tools to achieve just that. Let's take a short overview of how Safe Scala works and what the alternatives are.

Artificial Intelligence|Published: 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.

Artificial Intelligence|Published: 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.

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.

Business insights|Published: 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?

Frontend Engineering|Published: 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.

Frontend Engineering|Published: 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.