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.
Thank you! We're working on filling the gap that AI tools have today, including:
Answers rooted in trusted, verifiable content. Our latest Dev survey show that while AI usage is growing, user trust is not.
"Off-ramps" to community so that it's not a dead-end experience.
A method to bring convos from AI tools to AI Assist and the community
And a whole lot more! We only launched the first beta in July, the second in September.
Looking forward to the continued feedback.
Report
Congratulations on the launch! stackoverflow was the go to resource for many developers before chatGPT and Claude came along. I tried the tool and it was a bit slow mostly because of the UX (lacks thinking/realtime streaming)?. May be streaming the top community answers can fix this? Loved the fact that the UGC was given more prominence with AI coming in as an explainer rather than starting from scratch. Also developer flow has changed with vibe coding. Earlier developers will get stuck in a problem and then go to stackoverflow. Wonder at what point a vibe coder will switch to stackoverflow for answers or answer questions in stack overflow? An MCP integration within the IDE will be great!
Thank you for the feedback! Once we have the experience where we want it (accuracy, speed), we plan to go where developers are in the IDE so that they don't have to leave their context.
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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Wow, just yesterday I was talking with a friend about Stack Overflow and nostalgia for college, and now this. Congratulations. 😍
@busmark_w_nika Power corrupts. I dont know why higher ups would allow some "mods" to retain their powers after countless abuse reports. It was all in the logs. I think that rep and the fact that stackoverflow wasnt needed anymore because AI's would just read official code docs and github repos to answer any code questions you had. I was a big user on stackoverflow. i visited it like 20-50 times a day. but that dropped to zero over night when gpt emerged. I dont see how stackoverflow can position them selfs now. I would leverage the brand, and do something new.
I can share some early observations (we only launched the beta in July): we're seeing a different cohort of users who prefer the AI experience, specifically by location and subject area. It's a balancing act trying to solve issues for users looking for answers while integrating contributor content without modifications and with attributions into a fast, accurate, and comprehensive AI answer.
Report
This feels like the natural evolution of Stack Overflow 🙌 — instant AI-powered answers, but still grounded in trusted community knowledge. I like that it’s not just about speed, but also guiding devs deeper into the community. Curious: how do you balance AI-generated answers with the need to credit/retain the original human contributions?
Raycast
Looks like @Stack Overflow is making a push to curry favor with students who are on their way back to school, since those who have graduated are finding it challenging to find entry-level roles.
Hard to tell if Stackoverflow will go the way of Chegg now that @GPT-5 and @Codex by OpenAI has prioritized coding tasks.
Stack Overflow
Thank you! We're working on filling the gap that AI tools have today, including:
Answers rooted in trusted, verifiable content. Our latest Dev survey show that while AI usage is growing, user trust is not.
"Off-ramps" to community so that it's not a dead-end experience.
A method to bring convos from AI tools to AI Assist and the community
And a whole lot more! We only launched the first beta in July, the second in September.
Looking forward to the continued feedback.
Congratulations on the launch! stackoverflow was the go to resource for many developers before chatGPT and Claude came along. I tried the tool and it was a bit slow mostly because of the UX (lacks thinking/realtime streaming)?. May be streaming the top community answers can fix this? Loved the fact that the UGC was given more prominence with AI coming in as an explainer rather than starting from scratch. Also developer flow has changed with vibe coding. Earlier developers will get stuck in a problem and then go to stackoverflow. Wonder at what point a vibe coder will switch to stackoverflow for answers or answer questions in stack overflow? An MCP integration within the IDE will be great!
Stack Overflow
Thank you for the feedback! Once we have the experience where we want it (accuracy, speed), we plan to go where developers are in the IDE so that they don't have to leave their context.
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.
Wow, just yesterday I was talking with a friend about Stack Overflow and nostalgia for college, and now this. Congratulations. 😍
minimalist phone: creating folders
I am curious what the environment will be like with AI. [I usually heard that it used to be a slightly toxic place.] :D
DiffSense
@busmark_w_nika Power corrupts. I dont know why higher ups would allow some "mods" to retain their powers after countless abuse reports. It was all in the logs. I think that rep and the fact that stackoverflow wasnt needed anymore because AI's would just read official code docs and github repos to answer any code questions you had. I was a big user on stackoverflow. i visited it like 20-50 times a day. but that dropped to zero over night when gpt emerged. I dont see how stackoverflow can position them selfs now. I would leverage the brand, and do something new.
minimalist phone: creating folders
@sentry_co Maybe they are completely doomed. 💀
Stack Overflow
I can share some early observations (we only launched the beta in July): we're seeing a different cohort of users who prefer the AI experience, specifically by location and subject area. It's a balancing act trying to solve issues for users looking for answers while integrating contributor content without modifications and with attributions into a fast, accurate, and comprehensive AI answer.
This feels like the natural evolution of Stack Overflow 🙌 — instant AI-powered answers, but still grounded in trusted community knowledge. I like that it’s not just about speed, but also guiding devs deeper into the community. Curious: how do you balance AI-generated answers with the need to credit/retain the original human contributions?
Congratulation to the launch it's amazing tool. @stackoverflow.ai