There’s no doubt the AI-generated code landscape evolved at an unprecedented rate over the last year. The rise of vibe coding, where developers use large language models (LLMs) to generate functional ...
As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
The term, coined by Andrej Karpathy a few months ago, is now shorthand for an entire shift in the way that we view software engineering. It’s the idea that AI is “hands-off” in terms of code ...
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Top AI coding tools make mistakes one in four times, study shows
New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software ...
The former head of Google Brain said that "lazy prompting" can help with use cases such as debugging code.
How we can take advantage of generative AI, common application structures, and systematic code reuse to drive faster and more innovative digital product development. In 2009, DevOps emerged as an ...
A new report today from code quality testing startup SonarSource SA is warning that while the latest large language models may be getting better at passing coding benchmarks, at the same time they are ...
AI-assisted code speeds development, but introduces vulnerabilities at an alarming rate. Waratek IAST reports flaws ...
Microsoft researchers published a paper on low-code large language models (LLMs) that could be used for machine learning projects such as ChatGPT, the sentient-sounding chatbot from OpenAI. Recent ...
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