Companies are scrambling to deal with the glut. Credit...Mojo Wang Supported by By Mike Isaac and Erin Griffith Reporting from San Francisco When a financial services company recently began using ...

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

As AI coding tools generate billions of lines of code each month, a new bottleneck is emerging: ensuring that software works as intended. Qodo, a startup building AI agents for code review, testing, ...

Anthropic’s Claude Code surpassed 20 million commits across more than one million GitHub repositories this week, yet a third-party tracking dashboard revealed a striking imbalance: roughly 90% of that ...

AI coding tools boost code output; top adopters see nearly double the pull requests weekly. 63% of companies now use AI tools for most coding, per Jellyfish's study of 700 firms. Code quality remains ...

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 ...

Pencil.dev combines visual design capabilities with AI-driven code generation, offering a practical way to bridge design and development workflows. Christopher Deane highlights how its integration ...

According to @bcherny, developers can run /config in Claude Code to set output styles that change the assistant’s tone and format for coding tasks, including an explanatory style for understanding ...

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 ...