VentureBeat made with Google Gemini 3.1 Pro Image Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude ...

Claude Code’s March 2026 updates introduce new capabilities aimed at improving coding workflows in practical ways. A key addition is the ability to interact directly with Mac desktops and applications ...

Today is *** day for celebrating. We are here at Sobella Aquarium at the Kansas City Zoo and Aquarium, and we are all about Tortellini today. Tortellini just got *** new harness put on her, um, and it ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

Abstract: Artificial Intelligence (AI) driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of ...

Anthropic unveiled a multi-agent Code Review system for Claude Code that automatically reviews every PR for bugs. It dispatches parallel AI agents to review pull requests and adds inline comments ...

When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...

The multi-agent tool, called Code Review, should catch “bugs human reviewers often miss,” Anthropic said. Agents run in parallel and deliver a high-level overview, plus in-line comments for individual ...

In the frantic arms race of ‘AI for code,’ we’ve moved past the era of the glorified autocomplete. Today, Anthropic is double-downing on a more ambitious vision: the AI agent that doesn’t just write ...

Organic micropollutants (OMPs), including pharmaceuticals, personal care products, industrial chemicals, and pesticides, are harmful to environmental and human health due to their toxicity, ...

The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...