[John7878781]

Stack Overflow is no longer relevant. Today, you can just ask Gemini, Claude, or ChatGPT instead, and you don’t have to deal with the usual condescension.

[Etheryte]

I can see where you might get that sentiment, but where do you plan to go when new tech rolls around, the docs don't cut it and your LLM of choice hallucinates APIs that don't exist? This was always Stackoverflow's bread and butter, and people who only use it as noob search tend to miss that fact. SO can be a tough crowd, yes, but mostly it's people who didn't read the rules before posting who get burnt. That aside, it still has a very high concentration of experts that you'll struggle to find anywhere else.

[protocolture]

>I can see where you might get that sentiment, but where do you plan to go when new tech rolls around, the docs don't cut it and your LLM of choice hallucinates APIs that don't exist?

Not Stackoverflow, because all my questions are either ignored or closed, even when extremely detailed and unique.

[SwiftyBug]

Unfortunately the answer to that is the Discord server of whatever technology I'm working with. Communities are now separated each in their silo on Discord, far away from the public internet, where nothing can be indexed.

[JustExAWS]

Most of my work these days are around the AWS SDKs and Terraform. I always just say “verify the APis on the internet”.

Now, AWS has a documentation MCP server that can integrate with ChatGPT.

https://github.com/awslabs/mcp/tree/main/src/aws-api-mcp-ser...

I haven’t used it.

[rafark]

> the docs don't cut it

Yet. By the time stackoverlow shuts down, AIs will be powerful enough to take data from docs or just from the source code alone. I mean the new version of opus is pretty good at understanding my front end source code. I think that should be the goal of AIs (that they are so advanced they don’t need to read code examples from a third party website like stackoverflow)

[arbol]

LLM clients like chatgpt can scrape the code of new tech on demand. They tend not to hallucinate when you provide fixed inputs like this.

[John7878781]

While LLMs may have used Stack Overflow data to get their start, I think it's reasonable to assume that this source of training data will no longer continue to be useful.

Therefore, as both a data source and a QA website, Stack Overflow has lost its relevance.

[memset]

The source code itself.

If an LLM can read the source of the library you’re trying to use - or examples of others using the library in GitHub, or official documentation - then there is less of a need for a fellow SOer to put the pieces together to debug issues and answer questions.

[werdnapk]

My niche questions are never answered correctly by AI. I'm led down false rabbit holes. Stack overflow still provides much better answers for me overall.

[ndespres]

Growing grains is no longer relevant. You can just walk into any supermarket and purchase packaged cereals, breads, and cakes, and you don’t have to deal with operating a tractor, cultivating soil, or sowing seeds.

[blueflow]

The equivalent of "growing grains" would be reading the documentation - SO is second-hand knowledge.

[kace91]

How much of that LLM output is the result of adding SO’s content to the pot?

And if usage declines, what will be feed future LLMs with?

[arbol]

SO is probably a very significant factor in the success of LLMs but it's decline will not affect LLM development. LLMs will simply be trained on the conversations people are having with them.

[kruuuder]

Blog posts and GitHub discussions come to my mind. That's where I often find answers to my questions and where I contribute.

[add-sub-mul-div]

"Ah, the joys of mortgaging your future."