Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

AI is flipping software development from execution to oversight. Here's how intent, validation and governance are replacing ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Today, organizations such as Monday.com, Box, and others are using Qodo 2.0 to manage high-velocity AI-assisted development at scale. Qodo 2.0 is available today. Additional information on the ...

Available now in beta, the integrations deliver a suite of AI-automated workflows that embed scalable code review directly into Azure DevOps. By grounding reviews in codebase context, past review ...

AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can now generate well-structured code from ...

CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code Review of AI-coauthored PRs and human-only PRs finds AI-Generated PRs ...

Apple continues to explore how generative AI can improve app development pipelines. Here's what they're looking at.

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

So-called code generation or “code-gen” startups are commanding sky-high valuations as corporate boardrooms look to use AI to aid, and sometimes to replace, expensive human software engineers. Cursor, ...

The first major challenge directly comes from the limited data. Unlike software engineering tasks, where large-scale public data is abundant, the hardware domain, especially UVM verification, is ...