Learn how to use no-code AI automation and workflow automation tools to build simple, powerful AI workflows that streamline repetitive tasks without any coding skills needed. Pixabay, geralt A growing ...

ChatGPT may be the best-known artificial intelligence chatbot on the market, but the latest iteration of AI startup Anthropic’s coding bot, Claude Code, is newly entering the spotlight. By simplifying ...

Tools such as Cursor can go a long way toward simplifying code setup. There's still a lot of work to refine the results. Conceiving an app's goals and how to get there is the hidden gotcha of AI ...

AI coding tools are rapidly changing how we produce software, and the industry is embracing it—perhaps at the expense of entry-level coding jobs. Generative AI’s ability to write software code has ...

NEW YORK, Jan. 8, 2026 /PRNewswire/ -- Droit, a technology firm at the forefront of computational law and regulation, today announced the launch of Decision Decoder, an AI-powered tool to provide ...

In the process of handing No. 10 Iowa State its first loss of the season Sunday afternoon, No. 22 Baylor and Bears coach Nicki Collen may have given the rest of the country a blueprint on how to slow ...

One of the buzziest use-case scenarios that emerged out of the generative AI wave was vibe-coding. Think of it as your usual back-and-forth conversation with an AI chatbot, but instead of asking it ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Kilo Code makes a "vibe coding" extension for programming applications such as Microsoft's Visual Studio Code. The company was launched early this year by a group including Sid Sijbrandij, previously ...

Big quote: Sundar Pichai now talks about vibe coding in the same breath as blogging and YouTube – not as a metaphor for hype but as evidence that software creation is slipping further out of engineers ...

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Researchers from Stanford, Princeton, and Cornell have developed a new benchmark to more accurately evaluate the coding abilities of large language models (LLMs). Called CodeClash, the new benchmark ...