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The Drive to Develop
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover and create. Our line of software products include:
Integrated Development Environments
* IntelliJ IDEA (Capable
What happens when one programming language quietly influences Java, Kotlin, Swift, and the broader JVM ecosystem? In the latest Marco Show episode, Martin Odersky (creator of Scala and one of the architects behind Java generics) talks about functional programming on the JVM, the evolution of Java, AI-generated code, and why future programming languages may need entirely new safety models for AI agents.
📺 Full episode: https://youtu.be/Xn_YpUtXWT4
Also available on your favorite podcast platforms.
01/06/2026
Kotlin: Making mistakes visible since 2011.
Mellum started as a model for code completion.
Mellum2 expands far beyond that.
Now open source on Hugging Face, Mellum2 is built for modern AI workflows in software engineering, including routing, RAG, sub-agents, summarization, and real-time inference tasks.
Its new mixture-of-experts (MoE) architecture is optimized for ultra-low-latency and high-performance inference, making it practical for production deployments at scale.
Why teams are exploring Mellum2:
• Efficient inference for real-time workloads
• High-throughput production performance
• Local and self-hosted deployment options
• Full control over infrastructure and data
Available now under the Apache 2.0 license.
Learn more: https://jb.gg/t9z9qd
30/05/2026
“AI will reduce everyone’s workload.”
That’s the promise. But in practice, AI can also introduce new kinds of mental strain.
While AI tools can take on repetitive tasks, they can also create more:
- Decision fatigue.
- Constant review.
- Endless prompting loops.
For Mental Health Awareness Month, Yanina Ledovaya, cognitive psychologist and JetBrains DevEx and AI Evangelist, shares practical ways for developers to maintain more sustainable AI workflows:
- Set a cognitive budget before you start.
- Treat AI-generated code as unfinished work.
- Define what “done” looks like before you begin.
- Take actual breaks away from your screen.
The goal is not to remove humans from the process. It is to help humans work better without burning out.
Read more on developer’s life and Developer AI Experience insights in JetBrains Developer Ecosystem Survey - https://devecosystem-2025.jetbrains.com/
he is a true Java artist
JetBrains
AI wasn’t the only big story in 2025.
Growth, trust, and transparency all became part of the conversation too.
Check out our 2025 highlights video 👇
28/05/2026
AI can generate code in seconds. But humans still carry the load of checking, validating, and making judgment calls on the output.
That constant supervision adds up.
Research discussed in Harvard Business Review and work by M.-A. Storey point to the same tension: the future challenge of AI adoption may not be productivity alone, but also the mental workload it creates.
Faster outputs do not always mean lighter workloads.
Reflections from Yanina Ledovaya, cognitive psychologist and JetBrains DevEx and AI Evangelist.
Read more on developer’s life and Developer AI Experience insights in JetBrains Developer Ecosystem Survey - https://devecosystem-2025.jetbrains.com/
We did it again 👀
Something new is coming to the open-source LLM space on Hugging Face, and we can’t wait to share it.
Stay tuned. 🚀
We know. It’s almost June 2026, and we’re posting a 2025 highlights video.
But considering how many launches, releases, and updates happened last year, we figured a quick refresher wouldn’t hurt.
Better late than never, right?
27/05/2026
Koog 1.0 is here! We’ve moved JetBrains’ AI agent framework for Kotlin and Java to a stable core API, ready for production backends.
What’s new in 1.0:
• One-year stability guarantee: No breaking changes to the stable core for at least a year.
• Local AI: Local LiteRT ex*****on on Android devices.
• Better Java interop: A completely redesigned, cleaner API.
• Bring your own HTTP: A newly decoupled transport layer.
• OpenTelemetry for KMP: Deep observability across KMP targets.
• Prompt caching: Anthropic support to reduce latency and token costs.
Learn more: https://jb.gg/k4lwtj
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