Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

No fake news here, you really can program with musical notes if you want to!

A REST API (short for Representational State Transfer Application Programming Interface) is a way two separate pieces of ...

"This snake could easily swallow at least a calf, if not an adult cow," an explorer and natural history photographer said of ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Getting LeetCode onto your PC can make practicing coding problems a lot smoother. While there isn’t an official LeetCode app ...