stackoverflow.ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community.
The modernization makes sense but @santoshkumarraises the key question - Stack Overflow's value was always the community vetting and upvoting system that filtered out bad answers.
How does the AI handle edge cases or newer frameworks where the training data might be limited? Traditional Stack Overflow often had the most current solutions because developers were posting about bleeding-edge problems in real time.
Also curious about the community integration aspect. Does it encourage users to contribute back to the actual Stack Overflow when they find gaps in the AI responses?
Great feedback and questions. We're using a hybrid RAG + LLM approach where we return content from the Stack network if it's relevant and answer's the user's question and augment it with the LLM's "knowledge" to fill in gaps. If we don't have useful content, we fallback to an AI only answer, make it clear to the user that's it's fully AI, and prompt them to post the community if it's not helpful and they need an community verified answer.
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Congrats! This is a benefit to the majority of developers! If you encounter development problems in the future, you may want to ask stackoverflow.ai first.
It seemed like Stack Overflow was dead. It's been years since I've visited the website. I am excited to see how this new AI plays out for Stack Overflow in the future.
Memories call back in my brain.... StackOverFlow was definitely the website i visited the most every day when i was still programming.... I do hope this product could provide more dynamic solutions for ai native builders...
Triforce Todos
This could help new devs actually learn instead of just hunting for quick fixes.
Is there an MCP server for this?
Stack Overflow
Not yet. We want to get the accuracy and speed to a better state.
Scrumball
The modernization makes sense but @santoshkumarraises the key question - Stack Overflow's value was always the community vetting and upvoting system that filtered out bad answers.
How does the AI handle edge cases or newer frameworks where the training data might be limited? Traditional Stack Overflow often had the most current solutions because developers were posting about bleeding-edge problems in real time.
Also curious about the community integration aspect. Does it encourage users to contribute back to the actual Stack Overflow when they find gaps in the AI responses?
Stack Overflow
Great feedback and questions. We're using a hybrid RAG + LLM approach where we return content from the Stack network if it's relevant and answer's the user's question and augment it with the LLM's "knowledge" to fill in gaps. If we don't have useful content, we fallback to an AI only answer, make it clear to the user that's it's fully AI, and prompt them to post the community if it's not helpful and they need an community verified answer.
Congrats! This is a benefit to the majority of developers! If you encounter development problems in the future, you may want to ask stackoverflow.ai first.
Timetics.ai
Congratulation and wish you lots of luck.
It seemed like Stack Overflow was dead. It's been years since I've visited the website. I am excited to see how this new AI plays out for Stack Overflow in the future.
Agnes AI
Memories call back in my brain.... StackOverFlow was definitely the website i visited the most every day when i was still programming.... I do hope this product could provide more dynamic solutions for ai native builders...