This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Software products are becoming structurally denser. Distributed architectures, asynchronous processing, multi-language backends, and deep third-party integrations are now standard requirements rather ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...

AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...

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.

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

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

Dead languages aren't as unimportant as they seem, because learning Latin, Sanskrit and Ancient Greek will make coding easier ...

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...