I would never use the proposed style for Java. This is simpler and easier to understand for anyone with basic knowledge of Java. Readability is more important than fancy features:
For me, Java 8 was tolerable. Also used IJ a lot and it hides Java verbosity and reduced a lot of typing. That's why I didn't really see the need to switch. For better or worse, these days I don't even open IJ and just use VSCode + AI Badger mostly to review my changes. Language matters even less.
I never fully switched to Kotlin. It’s good, but not good enough. I also like the direction Java has been evolving in over the last 10 years, to the point that a JVM server is actually lighter than a Node.js server :)
Disclosure: I am the author of Scriptella. Recently I was investigating whether I could improve its CSV import performance, and decided to establish a baseline and compare it against existing tools.
Yeah, that's a great test case. I am planning my own follow-up to emulate Pi using virtualization and maybe use it for CI. Feel free to follow up on GitHub discussions if you run into issues with StatLite on Pi. I would be glad to help.
Let me know what kind of config you are interested in and I will try to run an experiment on it. I stress test StatLite in different environments, including 256MiB Alpine VPS with a Spring Boot Java app. No OOM crashes there.
There are ways to make copy-paste ChatGPT usable with things like AI Badger. Also, ChatGPT web is unmetered, so you can do review/planning work and only delegate the actual implementation to Codex.
I am happy to see JDK versions actually becoming faster and lighter over time. Nice contrast with other platforms that seem to be moving in the opposite direction.
Author here. I’m continuing to improve StatLite alongside these low-memory experiments. One direction I’m exploring is supporting other Micrometer-based frameworks, like Quarkus, which should be an interesting fit for this kind of 256 MB VPS setup.
Author here. I just published a follow-up experiment pushing the same Spring Boot setup down to 256 MiB VPS running Alpine Linux and JDK 25 + compact object headers.
I wouldn't say collapse. But given that we started in November 2025 (with wide adoption of Claude Code), we probably have 3 to 15 months before we see widespread impact on quality.
One big benefit of TUIs is that they lower the bar for customer adoption. Before Claude Code, it was unthinkable to come up with a mass-market TUI because most users would not use it simply because it's a terminal. Now, it can even be an advantage. Even inexperienced users are no longer afraid of the terminal.
Used to code primarily in Java. Now my app stack is about 80% Go. I love that it enables lightweight application development. Glad to see the platform evolving with a focus on resource efficiency.
My guess is that two factors are amplifying each other - Microsoft pushing for AI-assisted development internally and external agentic tools putting a lot of pressure on GitHub.
I ran into this during Monday’s outage. My project-management tool caches GitHub issues and metadata locally, so I was able to keep planning without interruption. Sounds like GitHub may be having issues again today too, although I haven’t run into them myself yet.
I ran across Beszel earlier - it’s a great project! But where Beszel focuses on server and container metrics, StatLite focuses strictly at the application layer-tracking app-level traffic, errors, latency, restarts, and runtime health. Both definitely have their place depending on what you need to observe.
Thanks, I can see the value for quick testing. I don’t use Docker in my own setup, but I’d consider adding it. An issue with the workflow you’d expect would be helpful - the tracker is under GitHub -> PVRLabs/statlite -> Issues. (Full GitHub repo link in my HN profile)