Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...

Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder’s research team built a new secrets detection method and scanned 5 ...

If your Messages inbox is catching a lot of stray, unwanted messages, we'll show you how to filter, report, and block spam messages on iOS 26. At WWDC 2025, Apple announced that it would be bringing ...

Using GitHub Pages and a simple PowerShell script, the author created a free, static web page to showcase years of published articles. An AI-assisted "vibe coding" approach with ChatGPT was used to ...

A filmmaker who can’t secure an interview with the A.I. executive turns to technology for a solution. By Ben Kenigsberg When you purchase a ticket for an independently reviewed film through our site, ...

On Monday, Anthropic announced a new tool called Cowork, designed as a more accessible version of Claude Code. Built into the Claude Desktop app, the new tool lets users designate a specific folder ...

AI coding tools are rapidly changing how we produce software, and the industry is embracing it—perhaps at the expense of entry-level coding jobs. Generative AI’s ability to write software code has ...

5,572 SMS messages. 747 spam. Can a custom neural network compete with BERT? This project compares three deep learning approaches to SMS spam detection: a custom LSTM architecture built from scratch, ...

Of all the possible applications of generative AI, the value proposition of using it to write code was perhaps the clearest. Coding can be slow and it requires expertise, both of which can be ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...