The GlassWorm supply-chain campaign has returned with a new, coordinated attack that targeted hundreds of packages, ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

Webpack's 2026 roadmap, led by Even Stensberg, unveils substantial enhancements aimed at modernizing the bundler. Key ...

Anthropic, a smaller rival started by OpenAI defectors, has found runaway success with its programming agent, Claude Code.

New capability delivers compliant, rich, analysis-ready SBOMs from a single folder-based workflow—even for mixed and ...

Amjad Masad’s Replit allows users to work together like they’re doodling on a white board. It also made him a billionaire along the way.

Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...

Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Abstract: We present a distributed source-seeking and flocking control method for networked multi-agent systems with non-holonomic constraints. Based solely on identical on-board sensor systems, which ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...