Scalac

Are your builds slowing you down? Let’s change that!

Join us for the next meetup featuring Haoyi Li - a Scala expert who surely needs no introduction, especially within the Scala community 😉

But if you haven’t crossed paths with Li yet, here’s what you should know: OSS contributor and the mind behind the "com-lihaoyi" suite of Scala projects. With experience building core infrastructure for tech giants like Dropbox and Databricks, Li brings deep insights into the and ecosystems.

In this session, he’ll show us how to level up our build game with Mill - a Scala build tool designed to improve upon every aspect of the classic SBT toolchain:
✅ Faster performance
✅ Cleaner configs
✅ Scalability for large codebases

Expect live coding, deep dives into how Mill works, and practical tips to simplify your Scala builds. If you’re a Scala developer who’s ever struggled with SBT, this one’s for you! 🙌

🔗 Save your spot and join us live on June 10th at 6 PM CEST ⬇️

https://scalac.io/functional-world/

🛥 Blasting through the waves into the future of AI with Akka and aboard the same boat. Literally. 😎 We're not just enjoying the Miami sun and waves - although they are very cool indeed!

A dozen or so years ago, Akka launched as a niche actor-model framework. Today, it's the GPS for Fortune 500 giants like United Airlines and Bank of America to build unsinkable, resilient systems. We’re done with sailing-related wordplays - at least for now. 😉

Scalac has been there from day one - we were literally in the room when Akka's creator, Jonas Bonér, announced it to the world about 15 years ago.

➡️ That's not all - at Scalac, we've seen Akka's actor model as the perfect foundation for next-gen systems:

🔹Akka makes AI agents reliable even when LLMs fail by keeping conversation history within the service, maintaining 99.99% availability for mission-critical AI systems.

🔸Massive workloads up to 2 million TPS handled efficiently by Akka's resource management across shared compute, with its event-driven runtime benchmarked to 10M TPS.

🔹Smart balancing of cost differences between LLMs and databases (up to 100,000x more expensive!) through efficient routing, enabling 30-40% infrastructure savings.

🔸Zero-downtime updates enabled for AI agents that need frequent retraining, maintaining stateful workflows while separating agent logic from underlying models

🔹Akka's actor model processes up to 1M+ requests/second with P99 latencies as low as 34ms, perfect for responsive AI recommendation systems.

The numbers don't lie: Akka's recent 50% ARR growth and 500M annual downloads show Scalac has been backing the right technology from the very beginning. As Tom Bogus and the Akka crew cruise the Miami waters, we're truly pumped about this partnership's future!

Also - check out the recording of Akka's webinar featuring Tyler Jewell (Akka's CEO) and Richard Li exploring how Akka powers the next generation of AI applications. Link to the recording in the comments below. ⬇️