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Documentation is generally considered one of the stronger points of rust libraries. Crates.io is not a documentation site you want https://docs.rs/ for that though it is generally linked to on crates.io. A lot of bigger crates also have their own online books for more in depth stuff. It is not that common to find a larger crate with bad documentation.

Not sure why you need an arc mutex to delegate it to the responsible component. Seems like the type of thing that should not cross thread boundaries nor be cloned multiple times.

They refuse to make changes to their C code, so it can cooperate with Rust code via bindings.

I don’t even think the rust devs where asking for that. They are refusing changes by rust devs that help with rust while making the c code clearer and even refuse to answer questions about the semantics behind the c code. At least as far as I can see from the outside.

Transactions should be short lived, they block data on the database side from acessing those tables or rows. Best to not jole onto a transaction that long and instead gather your data first or rethink your access patterns to your data base.

But arc does give you a try_unwrap which returns the inner type if there is only one strong copy left. And mutex gives you an into_inner to move out of it. But really transactions should not be held for a long period of time.

Doesn’t a lot of the money for the research come from tax payers? And a lot of effort put into tweaking formulas with no real impact just so they can extend the patents? And then they jack up the prices to insane levels so that those tax payers cannot even afford the results anyway… The system is broken and massively abused. It needs to be changed. We might need something to help foster innovation but the current system just stifles it far more then it helps.

TLDR; Install the relevant packages for the language you care about like every other guide tells you do to.

By the end of this guide, you’ll have a robust development setup ready to tackle any project.

And by a robust dev setup they mean the bare minimum packages installed for projects in one of C/C++, Python, Java, or Javascript.

If you really want a robust developer setup look for guides and tutorials about the language you care about. This goes into so little detail on anything that it is basically useless.

Why do we need tests to be understandable by any human. IMO tests that go to that degree do so by obscuring what logic is actually running and make it harder as a developer to fully understand what is going on. I would rather just keep tests plain and simple with as few abstractions around them as possible.

Cypress cy.get(‘h1’).contains(‘Result’)
Playwright await expect(page.getByTitle(‘Result’)).toHaveCount(1)
Testing library expect(screen.getByTitle(/Result/i)).toBeTruthy()

We can nit pick about syntax here and I prefer the cypress one as it immediately tells me what it is doing and I am not even familiar with those frameworks but:

UUV Then I should see a title named “Result”

That tells me nothing about what it is actually doing. How is the framework meant to interpret that or similar things? It is imprecise and I have no way to validate it will do what I expect it should. I do not trust AI or LLMs enough to translate that into a workable test. Even if it works for simple situations like this how does it grow to far more real and complex test cases?

It would be one thing to use a LLM to generate a test for you that you can inspect - but to generate it probably on every run quite likely without being able to see what it did? Um No thanks. Not with the current state of LLMs.

At least I assume it is LLM based as there is no other way to do this as far as I am aware, though they dont seem to mention it at all.

It could be a tight bend in the line somewhere - make sure there are no tight bends. Otherwise if it is the tube then get a thicker tube.

Can when the specific situations are reached in very micro benchmark situations. But overall on aggregate you find even JIT languages don’t strictly outperform pre compiled languages for general workflows when looking at languages of a similar class. When you compare them to compiled languages like C/C++/rust/zip (aka ones without a GC or much of a runtime at all) then JIT languages fall behind like all other GCed languages.

Of these 25 reasons, most apply to a lot of languages and are far from Java exclusive or even java strong points. Pick any mainstream language and you will hit most of the benefits it lists here. With quite a few being almost meaningless. Like this:

Java/JVM/JIT can achieve runtime optimization on frequently run code, especially on something that’s running as a service so that you avoid the overheads from JVM startup times.

Compiled languages generally don’t need a JIT or to be optimized at runtime as they are compiled and optimized at compile time. And most language that don’t have a runtime like Javas already run faster than Java without its heavy startup time. Language with JITs are generally interpreted languages which have these same benefits as java lists here. Though do often suffer from other performance issues. But really at the end of the day all that really matters is how fast the language is and how good its startup times are. Java is not ahead of the pack in either of these regards and does not do significantly better then other languages in its same class (and often still drastically sucks for startup time).

Or

Much of a company’s framework can be stable Java, with Scala or Clojure-backed business logic.

Many languages you can embed other languages inside. Nothing really special about scala or clojure here except that they work well with java. And I don’t really see this as a major benefit as most places I see dont separate their core code and business logic into different languages.

And the remaining issues that are more java specific are:

Java was one of the first mainstream GC strongly typed OOP languages. So it got its niche.

Java has been one of the main programming languages taught in colleges and universities in the last few decades.

Java’s Legacy Migration: Many banks in particular migrated legacy systems to Java in the early 2000’s when it was getting a lot of popularity and the industry was collectively in the midst of a huge OOP fever dream.

Which all paint a picture - it was popular long ago and taught in universities and lots of business pushed it when back in the day. And now it is hard to move off it.

And lastly:

Oracle

What? How is this a point? If anything this should be a massive negative.

Not exactly 25 reasons to pick java in financial enterprise.