As much as I do like programming in Java, you have a good point.

Or anything that downloads code from an untrusted source…

Don’t any linux DE have something like a shortcuts app?

So many websites out there are built on Django, Flask, etc. (YouTube must have spent a decade using Python, Instagram, Threads etc. all use Python and optimize as they need).

Mojo is surfing on the AI hype, so only time will tell whether it lives to fulfill the expectation.

The whole article seems a bit forced with many topics that are present in most other languages too. I don’t think “Faster release cycle” is one reason Java got where it is today.

The problem is people are lazy and most places I’ve been, peoeple make bad commit messages and often very non informative.

Just as an example, I worked as a contractor with the biggest bank in Latin America before and basically all their server code is Java (with new code in Kotlin nowadays).

it’s a great language if you need to develop fast like Python

I think what’s more relevant question here is what about the ecosystem? The language itself can be good, but can you create some category of software in it that is better/easier than alternatives? I suppose it would take a long time for it to have a framework as complete or well documented like Python’s Django or PHP’s Laravel etc.

When blogs or people in forums promote some less used language they often focus on some specific good thing and leave out the inconveniences and the big picture, so these are questions I’d ask before adopting a different programming language.

That seems like it’s trying to be everything.

I might be wrong — who knows — but from that text I don’t think that is being made by passionate individuals trying to create a good product for the software community because they believe in it. It feels like some VC money grab that throws LLMs at the problem and already expects to be the next Facebook.

I have friends who work at the biggest bank in Latin America, where most backend stuff used to be Java. Nowadays all new code is written in Kotlin.

And I work at a company who switched to “trunk-based development” but because of bureaucracy, nothing can be merged early. Big feature branches still sit waiting for months, then need a big document describing the changes and their impact, some QA team to test the new feature branch build etc. The “release management” team simply renamed the develop branch to trunk and called it trunk-based development.

I think companies themselves would benefit from having employees dedicate some percentage of their time to exciting stuff, new attempts at solving problems etc. (I currently do this with side projects)

It works for managing the engineer appetite to playing with new tech, learn and be up to date, and in the end not over engineer the main product that is probably the main income for the company and most likely benefits from being boring and stable.

I don’t get what is the “application” in this context. Is that the Lemmy server or kbin server, which use the ActivityPub protocol? And couldn’t this be solved with a sort of .apub at the end of each resource, like the .json used to work for Reddit?

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That’s a well designed compiler.

The biggest problem is that now it will be mass generated with little effort. Time to abandon Google if most of the web becomes ChatGPT generated articles. Better to talk to ChatGPT directly.

I had similar experiences and nowadays I just ask for sample exemples of how to do stuff in isolation then I piece them together myself.

One example was trying to create some hooks for git to avoid copy-pasting something every commit. After trying to often correct it again and again, I just decided to start fresh and ask for a generic sample. It finally gave me a correct one. But I did the work to customize if for my needs and test it.

I’d go as far as saying you should know what every line of code does or you’re risking the whole thing to have unexpected side effects. When you understand what the code is doing, you know what parts you should test.

Trying yourself first seems like the best approach. There are people who recommend you not to Google the answer until you have tried all the options and looked at the official documentation as an “exercise” of problem-solving without being fed the answer, cause you won’t always have it.

I’m in a situation like that. I currently work for a huge bank which requires a lot of custom configurations and using their own framework for a lot of stuff. So, most of the problems people have cannot be searched online as they’re company specific. I see new workers there struggle a lot because they don’t try to understand what’s wrong and just want a fed copy paste solution to make the problem go away.