Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

Not just another code assistant - Rovo Dev CLI rethinks where and how AI fits into modern engineering workflows, starting at ...

Using AI, architects can quickly draw up diagrams to easily visualise these relationships and standardise dependency versions ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Software engineering has traditionally been about complex code and long development cycles. But things are changing now. Artificial intelligence (AI) and no-code solutions transform application ...

Bob McGrew, OpenAI's former chief research officer, said prototypes made with vibe coding have to "rebuilt with professional ...

Why is Google hiding Gemini's reasoning traces? The decision sparks a debate over black-box models versus the need for transparency.

Application development is evolving fast, with AI, platform engineering and cloud-native tools reshaping how software is ...

AI-powered software development tools are rapidly evolving. What began as enhanced autocomplete has expanded into AI agents that can write applications, debug problems, and manage entire codebases—or, ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s ...

As such, real estate brokerages and agents need to arm themselves with tools that can help them gain ... proprietary rubric and performing hands-on software testing, I found that my favorite ...