#ai-generated-code

#ai-generated-code

This isn't hypothetical. In a survey of 450 security leaders, engineers, and developers across the U.S. and Europe, 1 in 5 organizations said they had already suffered a serious cybersecurity incident tied to AI-generated code, and more than two-thirds (69%) had uncovered flaws created by AI. Mistakes made by a machine, rather than by a human, are directly linked to breaches that are already causing real financial, reputational, or operational damage. Yet artificial intelligence isn't going away.

But many engineering teams are noticing a trend: even as individual developers produce code faster, overall project delivery timelines are not shortening. This isn't just a feeling. A recent METR study found that AI coding assistants decreased experienced software developers' productivity by 19%. "After completing the study, developers estimate that allowing AI reduced completion time by 20%," the report noted. "Surprisingly, we find that allowing AI actually increases completion time by 19%-AI tooling slowed developers down."

She called vibe coding a beautiful, endless cocktail napkin on which one can perpetually sketch ideas. But dealing with AI-generated code that one hopes to use in production can be "worse than babysitting," she said, as these AI models can mess up work in ways that are hard to predict. She had turned to AI coding in a need for speed with her startup, as is the promise of AI tools.

I've been for a while now filing issues in the GitHub Community feedback area when Copilot intrudes on my GitHub usage, I deeply resent that on top of Copilot seemingly training itself on my GitHub-posted code in violation of my licenses, GitHub wants me to look at (effectively) ads for this project I will never touch

Nearly 100% of engineers at Robinhood are using AI code editors, making it hard to distinguish between human-written and AI-generated code, according to CEO Vlad Tenev.