invalidname
Joined 14 years ago
Joined 14 years ago
There are other solutions that give you MUCH faster startup with lower memory e.g.: https://foojay.io/today/java-server-work-before-startup/
Edit: it seems I missed that 28 added the actual native code compilation phase so it will probably be closer to the GraalVM numbers in the link above.
Flutter made a lot of sense during the Oracle lawsuit when Google needed a way to show Oracle that it can pivot from Java. Now it no longer makes sense but the inertia is too deep.
My guess is that flutter is sold internally through the Huawei support as a leg within China.
* Level builder/game designer * Proper 3d that works natively everywhere (direct 3d on windows, metal on iOS/Mac) * Support for native win32, Linux and mac - real native with no JVM, 5mb binary * Native performance for some edge cases (low level SIMD API etc.)
You're right that mindshare is a huge part, but there were also many important missing pieces especially on the deployment front. I think that with good tooling and a royalty free pitch this might open some doors that were previously closed to Java.
Getting to major studios would be an uphill battle but since they acquire indie studios the path goes through there.
Whenever I see Linux people comparing Linux and Mac I'm amazed at the audacity. They are not in the same league. Not by a mile. Even the CLI is more convenient on the Mac which is truly amazing to me.
As a result our work on the project got reduced to maintenance until coding agents got better. Over the past year I've rewritten a spectacular amount of the code using AI agents. More importantly, I was able to construct enterprise level testing which was a herculean task I just couldn't take up on my own.
The way I see it, AI brought back my OSS project that was heading to purgatory.
EDIT: Also about OPs post. It's really f*ing bug bounties that are the problem. These things are horrible and should die in fire...
The solution is to use a higher level safer, strict language (e.g. Java) that would be easy for us to debug and deeply familiar to all LLMs. Yes, we will generate more code, but if you spend the LLM time focusing on nitpicking performance rather than productivity you would end up in the same problem you have with humans. LLMs also have capacity limits and the engineers that operate them have capacity limits, neither one is going away.
Having said that, it doesn't really matter if you didn't like it. It was a pretty big part of the J2ME ecosystem at the time and it's a huge omission.