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AIdataNewsGlobal General: Stack Overflow Monthly Questions Hit 961 as ChatGPT Rewrites Developer Q&A

By David Nakamura | AI & Data News | Contact: editorial@aidatanews.com | https://aidatanewsglobal.com

The monthly question count on Stack Overflow has fallen to 961 in September 2026, a level far below the hundreds-of-thousands pace the site once maintained.

The decline shown by the data spans more than a decade:

  • March 2014: 207,100 questions
  • June 2020: 171,800 questions
  • November 2022: 109,100 questions
  • October 2023: 52,300 questions
  • October 2024: 23,100 questions
  • October 2025: 5,200 questions
  • September 2026: 961 questions

OpenAI released ChatGPT in late November 2022. At that point, Stack Overflow was still handling about 100,000 questions each month. One year later, in October 2023, the count was 52,300, a decline of 50%. During that one year, other AI chatbots also entered the market.

How chatbots changed developer search

Developers increasingly ask a conversational interface directly instead of publishing a question on a public forum. The answer arrives in a private workflow, and follow-up questions can be adjusted in the same thread.

Coding agents reduce the need to ask publicly

As AI coding agents expanded, parts of the development workflow—architecture design, code generation, debugging and fixes—could be handled without first looking for a previously posted solution. This compressed the need to go to Stack Overflow for many routine problems.

Pressure on the public knowledge base

Stack Overflow accumulated many years of public questions and answers. Search engines helped developers find old issues, community edits and multiple user solutions. The new AI path changes how answers are obtained and how new experience spreads.

Solutions worked out inside private AI conversations do not appear in the same searchable, discussable and revisable public archive. For programming languages, frameworks and development tools that update frequently, adding new questions and answers remains important.

Data citation: Monthly question counts referenced in this article are from LLM Blogs.

FAQ

Is the 961 figure a daily number?

No. The reported figure is the monthly question count for September 2026.

Did ChatGPT alone cause the decline?

The article links the drop to ChatGPT, other AI chatbots and coding agents changing how developers get answers. It does not present a single-factor cause beyond those changes in the question path.

Why does this matter for public search?

Because private AI answers do not enter the same public archive, the update loop for newer languages, frameworks and tools may slow.

The broader takeaway from these data points is that developer answer-seeking has moved from public forums toward AI chat interfaces; the remaining question is how public knowledge bases will adapt when new material is produced privately.

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