Java at 30: Interview with James Gosling

In the late 90s, I got stuck making a scheduling program in Java, but it had to run on the 16-bit Windows systems of the time. That was a huge pain, because the 16-bit version didn't have all the capabilities that management was expecting based on the hype. These days, I sometimes have to install enormous enterprise applications that tie up north of 32G of RAM even though they're just basic hardware management tools that would take a fraction of that if built in something like C++ with a standard GUI library. I manage to avoid Java most of the time, but it's been an occasional thorn in my side for 30 years.

As someone who's always been interested in gamedev, I genuinely wonder whether that would be good enough to implement cutting-edge combo modern acceleration structures/streaming systems (e.g. UE5's Nanite level-of-detail system.)

I have the ability to understand these modern systems abstractly, and I have the ability to write some high-intensity nearly stutter-free gamedev code that balances memory collection and allocation for predicable latency, but not both, at least without mistakes.

Although Python is pretty close, if you exclude Windows (and don't we all want to do that?).

I went to a Java school. I remember my operating systems class involved writing simulated OS code in Java (for example, round robin for context switching). The argument was that it would be easier to understand the algorithms if the hardware complexities were minimized. I understand that sentiment, but I don't think Java was the right choice. Python would have accomplished the same task even better (understanding algorithms). I think there was a huge influence from industry to teach college students Java from day one. I had taught myself BASIC and some C back in high school, so it was a bit of a step backwards to learn a high-level language just to do simulated low-level OS programming.

For instance, Java introduced the fork/join pool for work stealing and recommended it for short-lived tasks that decomposed into smaller tasks. .NET decided to simply add work-stealing to their global thread pool. The result: sync-over-async code, which is the only way to fold an asynchronous library into a synchronous codebase, frequently results in whole-application deadlocks on .NET, and this issue is well-documented: https://blog.stephencleary.com/2012/07/dont-block-on-async-c...

Notice the solution in this blog is "convert all your sync code to async", which can be infeasible for a large existing codebase.

There are so many other cases like this that I run into. While there have been many mistakes in the Java ecosystem they've mostly been in the library/framework level so it's easier to move on when people finally realize the dead end. However, when you mess up in the standard library, the runtime, or language, it's very hard to fix, and Java seems to have gotten it more right here than anywhere else.