First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...

It's more than just a code editor.

This app isn’t about to become a billion-dollar company. It can remember your collection, but only if you return to it using the same computer or phone. Someone without technical skills may struggle ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Transform your code files into organized, navigable documents with a table of contents-like structure. Create sections using simple comments, then use VS Code's built-in Outline panel to view and ...

Developer-first security tool blocks AI manipulation attacks in under 100 milliseconds with a single API call Our goal ...

AI-assisted development accelerates software delivery but expands the threat surface. From prompt injection and malicious MCP ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.