Not Stackoverflow, because all my questions are either ignored or closed, even when extremely detailed and unique.
or so you claim.
I read through the backlog, ensured I had completely exhausted every other avenue (short of 3 more weeks of yelling at one of the involved vendors for information about how they were performing their whitelisting) and had available captures for network and application, full reproducibility steps and details of everything that had been interrogated. I even remember linking similar issues, and explaining how I ruled out their causes.
In fact I am still relatively confident that the way mobile browsers were responding to the bug, probably constitutes a bug in itself but honestly, cant be assed to pursue it.
When enough time has passed I will probably produce a blog about the issue, so it can be digested by the next iteration of the troubleshooting machine. But I really dont feel compelled to provide further data to the stackoverflow community directly considering their complete lack of response. Even closing it as a duplicate of an existing issue would have been helpful, but it wasn't a duplicate so it was just ignored.
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.
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)
AIs will be good enough to understand the docs and source code alone, just like the human answering a stackoverflow question.
Therefore, as both a data source and a QA website, Stack Overflow has lost its relevance.
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.
And if usage declines, what will be feed future LLMs with?
People go to the llm to request help. How is that conversation going to be a good source to increase future knowledge?
No one is going to ChatGPT to explain to it how they solved a problem.