Over the past one and a half years, Stack Overflow has lost around 50% of its traffic. This decline is similarly reflected in site usage, with approximately a 50% decrease in the number of questions and answers, as well as the number of votes these posts receive.
The charts below show the usage represented by a moving average of 49 days.
What happened?
There is a lot of Stack Overflow hate in this thread. I never had a bad experience. I was always on there yelling at noobs, telling them to Google it, and linking to irrelevant questions. It was just wholesome fun that briefly dulled my crippling insecurities
So you never had a bad experience, just were actively causing bad experiences for others?
I think you just fell for quite an obvious case of sarcasm.
A “woosh” if you will.
Sorry for being autistic ig
It isn’t obvious unless it has the slash s!
We should leave the /s back on reddit
Sadly, it really is necessary if one wants to be sure nobody actually takes the sarcasm seriously. It’s hard for people to tell in a textual medium.
Heck, my style of humor in RL is often sarcasm or deliberately ludicrous comments and people still sometimes go “wait, really?” Even though they know me well.
Sarcasm
No “/s”, no sarcasm.
Rather than cultivate a friendly and open community, they decided to be hostile and closed. I am not surprised by this at all, but I am surprised with how long the decline has taken. I have a number of bad/silly experiences on stackoverflow that have never been replicated on any other platform.
Like what?
deleted by creator
Amazing how much hate SO receives here. As knowledge base it’s working super good. And yes, a lot of questions have been answered already. And also yes, just like any other online community there’s bad apples which you have to live with unfortunately.
Idolizing ChatGPT as a viable replacementis laughable, because it has no knowledge, no understanding, of what it says. It’s just repeating what it “learned” and connected. Ask about something new and it will simply lie, which is arguably worse than an unfriendly answer in my opinion.
The advice on stack overflow is trash because “that question has been answered already” yeah, it was answered 10 years ago on a completely different version. That answer is depreciated.
Not to mention the amount of convoluted answers that get voted to the top and then someone with two upvotes at the bottom meekly giving the answer that you actually needed.
It’s like that librarian from the New York public library who determined whether or not children’s books would even get published.
She gave “good night moon” a bad score and it fell out of popularity for 30 years after the author died.
In my experience many of the answers have become out of date. It’s gradually becoming an archive of the old ways of doing things for many languages / frameworks.
Questions are often closed as a duplicate when the linked question doesn’t apply anymore. It’s full of really bad ways of doing things.
I’m not really sure of the solution at this point.
Also ChatGPT.
It’s a last resort for me nowadays.
Ironic, since one of ChatGPT’s biggest weaknesses is that it’s an archive of the old ways of doing things. You can’t filter by time on ChatGPT, and ChatGPT isn’t being retrained on the latest knowledge live. These aren’t inherent to GPT, so it’s possible that a future iteration will overcome these issues.
On ChatGPT, if a solution doesn’t work, you can ask in real time for a different one. On SO, your post just gets locked for being a duplicate.
Asking in real-time wouldn’t help in this scenario (e.g. some mirror is no longer accessible). If anything, it’d just lead you further astray and waste more time, because GPT’s knowledgebase doesn’t have this knowledge.
All questions have been asked and all answers have been given
and copilot and chatgpt give good enough answers without being unfriendly
ChatGPT has no knowledge of the answers it gives. It is simply a text completion algorithm. It is fundamentally the same as the thing above your phone keyboard that suggests words as you type, just with much more training data.
Who cares? It still gives me the answers i am looking for.
