From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

GitHub data suggests AI coding assistants are starting to influence which programming languages developers choose.

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.

Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...

COBOL was associated with the Y2K phenomenon at the turn of the century, a software problem arising from the inability of computers to switch dates to the 21st century. Thousands of COBOL programmers ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

AMD said its processors can be deployed in a range of industries, including industrial PCs for the intelligent factory and autonomous robots.

NVIDIA is positioning itself at the center of the robotics development ecosystem through multiple partnerships.

The frameworks use fundamentally different programming languages and UI rendering methods and vary in other characteristics.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Over the course of nearly 300 posts, Jonathan Bennett set a very high bar for this column, so we knew it needed to be placed in the hands of somebody who could do it justice.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.