Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

As AI coding tools become more sophisticated, engineers at leading AI companies are stopping writing code altogether ...

WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

As tech leaders, we must not reject Vibe Coding outright; instead, we should strategically employ it as a tool to enhance the ...

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to distribute credential‑stealing payloads.

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...