Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

The term “vibe coding,” coined by Andrej Karpathy in 2025, sent the tech world into a frenzy. The idea was simple but ...

Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...

Tycoon2FA has become a leading phishing-as-a-service (PhaaS) platforms, enabling campaigns that reach over 500,000 ...

Vishnu Kannan had just begun learning math as an early elementary school student in Howard County when his older brother came to him with a math problem. If he could solve it, he’d earn a dozen ...

Learn how to hire a skilled Fiverr crypto trading bot developer with this complete guide, including step-by-step processes, ...

Source Code Exfiltration in Google Antigravity‍TL;DR: We explored a known issue in Google Antigravity where attackers can silently exfiltrate proprietary source codeBy hiding malicious instructions ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Using AI to find security vulnerabilities holds significant promise, but the initial products fall short of businesses' and software developers' needs.