I'd love to see what makes it so large. That's like 1/15th the size of Linux.
Correlation, not causation. Java is often used on large projects, it doesn't itself make things brittle.
It's like the bomber survivorship fallacy - the fact you see such messed up projects mostly in Java is that they would not survive in languages like Python, where even a simple method rename can easily lead to big regressions.
On my beefy desktop, load times for the home page are at around three seconds. On my feeble (but still enormously expensive: a Microsoft Surface) laptop, it’s well in excess of 10 seconds. Both tests run on the very same network, so my conclusion is that load times are CPU bound, aka there’s huge amounts of JavaScript running, for one reason or another.
There are to many people that just don't know what they don't know and act they have things solved.
I think the software world has like two bubbles of people around the scale they work with and they don't understand each other or run into each other, except in interviews and on the internet.
Ex. https://stripe.com/blog/migrating-to-typescript
Which talks about 3.7m lines at Stripe.