As a result, more than a third of the developers in the survey "report that some of their visits to Stack Overflow are a ...

Not only did the survey find developers' trust in AI has dropped, but it also charted a decline in AI "favorability." ...

Flawed answers and the time drain of debugging generated code are the top frustrations with the technology, according to a ...

Stack Overflow either use or plan to use AI tools, while 64% cited ‘almost right’ AI output and debugging AI code as their ...

Developers' confidence in AI tools' accuracy has dropped significantly compared to last year, based on Stack Overflow ...

Jellyfish, which helps companies manage software development, surveyed 100s of engineers recently. The firm asked about the adoption of AI coding tools and which services engineers use most.

The tools are powered by AI models from OpenAI, Google DeepMind, Anthropic, and xAI that have rapidly increased their performance on a range of software engineering tests in recent years.

AI coding tools like GitHub Copilot have transformed software development and productivity. AI assistants close experience gaps, although they may lead to less secure, bug-prone code.