AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them.

The overwhelming majority of tech industry workers use artificial intelligence on the job for tasks like writing and ...

Gartner's new Magic Quadrant for AI Code Assistants report shows GitHub Copilot leading the market while forecasting ...

A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...

Zencoder, the leader in AI-powered software development agents, today announced the expansion of its Zen Platform, unifying ...

Plus: An investigation reveals how US tech companies reportedly helped build China’s sweeping surveillance state, and two ...

Whatever the reason for the relative lack of women and women of color in technology –a lack of exposure, a lack of role ...

Get huge discounts on MacBook Air and MacBook Pro during the Amazon Great Indian Festival Sale 2025. Shop premium laptops at ...

Research shows iPhone owners' overconfidence in Apple security makes them easier targets for cybercriminals compared to ...

Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same ...

At DjangoCon US 2025, speakers emphasized seasoned tech over hype, featuring secure GitOps workflows, simpler frontend ...

With GPU shortages and high model costs keeping prices sticky, CIOs must treat vibe coding tools as a core productivity expense rather than a bargain add-on. As developers continue to adopt vibe ...