What the rise of A.I. and the gutting of books coverage across U.S. media will mean for literature. By Dwight Garner In 1981, Donald Barthelme published “Challenge,” a funny and weirdly prescient ...

Every good narrative needs an inciting incident – something to kick-start the protagonist into action. For freelance health journalist David Cox, it arrived in the form of a health scare, which he ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

How The Washington Post’s now-defunct Book World transformed the careers of two giants of American literature. Credit...Tom Etherington Supported by By David Streitfeld David Streitfeld, a reporter ...

Anthropic released Code Review, which is designed to catch complex coding issues and fix bugs. As the feature "optimizes for depth," the company said it "is more expensive than lighter-weight ...

Code reviews are a critical part of modern software development, yet they can often become bottlenecks, especially when dealing with large or complex pull requests (PRs). Anthropic has this week ...

Amazon's e-commerce site suffered major outages in recent weeks. One outage was linked to internal use of an AI coding tool. Amazon SVP Dave Treadwell proposes new code controls in documents obtained ...

In a preview stage, Code Review launches a team of agents that look for bugs in parallel, verify them to filter out false positives, and rank them by severity. Anthropic has introduced Code Review to ...

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 ...

Anthropic on Monday released Code Review, a multi-agent code review system built into Claude Code that dispatches teams of AI agents to scrutinize every pull request for bugs that human reviewers ...

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 ...