Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this ...

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.

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

Code Metal hit a $1.25B valuation after a $125M round, using AI to translate and verify legacy code for defense and other regulated systems.

dYdX has been targeted by bad actors using malicious packages to empty its user wallets.

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

UTSA: ~20% of AI-suggested packages don't exist. Slopsquatting could let attackers slip malicious libs into projects.

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

Nvidia CEO Jensen Huang predicts English, not C++, Python, or any traditional coding language, will become the most powerful programming language due to AI advancements.

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...