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%, ...

Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow attackers to extract credentials and files — and gain a lateral edge.

To complete the above system, the author’s main research work includes: 1) Office document automation based on python-docx. 2) Use the Django framework to develop the website.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

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