Stack Overflow Survey: 66% of Developers Frustrated by AI Inaccuracy

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Top frustrations include inaccuracy and time-consuming debugging.

Positive sentiment for AI has decreased among developers from more than 70% last year to 60% this year, says the 2025 Developer Survey from Stack Overflow.

This year’s survey asked several questions about developers’ adoption and use of AI and machine learning tools. Response highlights are shown below:

  • 51% of professional developers use AI tools daily.
  • 84% of respondents are using or are planning to use AI tools in their development process, up from 76% last year.
  • 46% don't trust the accuracy of AI output, up from 31% last year.

The biggest frustration – cited by 66% of developers – is "AI solutions that are almost right, but not quite," followed by "debugging AI-generated code is more time-consuming" at 45%.

Overall, developers say they’re using AI for tasks such as:

  • Searching for answers (54.1%)
  • Generating content or synthetic data (35.8%)
  • Learning new concepts or technologies (33.1%)
  • Documenting code (30.8%)
  • Creating or maintaining documentation (24.8%)

The most frequently used LLM models are:

  • OpenAI’s GPT models (81%)
  • Claude Sonnet models (43%)
  • Gemini Flash models (35%)

For the 2025 survey, Stack Overflow received more than 49,000 responses from 177 countries, with most respondents citing more than 10 years of coding experience.

Years of coding experience (all respondents):

  • 1 to 5 years (13.9%)
  • 6 to 10 years (21.1%)
  • 11 to 15 years (15.6%)
  • 16 to 20 years (11.8%)
  • 21 to 30 years (14.6%)
  • 31 to 40 years (7%)
  • 41 to 50 years (3.1%)
  • More than 50 years (0.5%)

Read more at Stack Overflow.
 
 

 
 
 

08/07/2025

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