Aside from that "tiny detail", the language is doing great. Scala 3 has become the dominant version. Plus, with the rise of agents, we might finally close this topic for good. 👋 The Typelevel stack has become a de facto standard, no surprise there. And even with lots of improvements over the years, the top concern is still tooling 🤷 Full report: https://scalasurvey2026.virtuslab.com/ Summary: https://virtuslab.com/blog/scala/our-impressions-from-the-scala-survey-2026

This is scary! 🫣 Only 6% of respondents to the #Scala 2026 survey have less than two years of experience with the language! I know it's a difficult time for junior developers right now, but this stat is seriously giving me COBOL vibes 🥶

Already the fastest, and it just got even faster! The latest jsoniter-scala release improves parsing speeds for doubles, ints and longs by up to 30% 🤯 #scala

Videos from Scalar are online! 🎉 Let's start with the presentation from Martin Odersky. It's about applying the new capabilities to AI agents 👇 https://youtu.be/t460XVJA944 #scala

My mother-in-law started using chatbots. That was fast.

And the list really just goes on... Read it all here 👇 https://github.com/getkyo/kyo/releases/tag/v1.0.0-RC2

Major ecosystem additions: ✅ http - replaces sttp and tapir, dropping Netty ✅ pod - native client for Docker and Podman ✅ flow - durable workflow engine ✅ schema - JSON and Protobuf serde with type-safe lenses And the utilities to back it up: ✅ parse - effect for parsers ✅ config - typed feature flags & structured config ✅ stats-otlp - pure Scala OpenTelemetry ✅ logging-jpl/slf4j - logging bridges

Kyo strikes back! 🚀 This is probably the longest changelog I've seen in a very long time! Could Kyo be the missing uber-framework for #Scala after this release? Let's look at the massive list of new modules 🧵

It's JetBrains developer survey time again! With everything going on, I have a feeling that this could be the last one 🤷 https://surveys.jetbrains.com/s3/developer-ecosystem-survey-2026-sh?pcode=448289961348842151

💡 Did you know that every build of the Scala language goes through a Community Build? It's a massive automated pipeline that tests 2327 real-world projects to guarantee ecosystem compatibility 🤯 #scala What happens when a project fails? To quote Tomasz Godzik, it usually happens when the project: 💨 no longer exists ➕ starts using a newer version (like 3.4+) 🛠️ cannot be tested automatically due to complexity of the build In such cases, the team checks those failures manually to be sure it's not because of the compiler 👏