Blog: Ai

AI agents may know Haskell, Git, and CI, but they do not know how your team actually works. At Serokell, we turned our internal engineering guidelines into Claude Code skills so agents could follow the same conventions as our engineers. This post covers how those skills became a reusable plugin and what we learned from testing it on real repositories.

TL;DR: Everyone says 2025 is the year of autonomous AI agents. We’ve built a lot of them in production, and that’s exactly why we think most of the current hype just doesn’t add up. In this post, we'll break down the most common misconceptions, talk about what actually works in the real world, and explain why the math and economics behind the hype don’t hold up yet.

The market for AI in healthcare is expanding and is projected to grow in the coming years. This technology has already demonstrated significant capabilities in diagnostics and biomedical research. AI’s application in healthcare spans various areas, including early disease detection, personalized medicine, robotic surgeries, and patient management systems. Understanding its current state and potential future developments is crucial for healthcare professionals and policymakers.

AI alignment is a new field that studies how to make it so that the created systems would answer the needs and expectations of humans. In this post, we share insights into what AI alignment is and how it works.