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 ...

Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...

Add Decrypt as your preferred source to see more of our stories on Google. Anthropic accidentally exposed 512,000 lines of Claude Code via a source map leak. DMCA takedowns failed as mirrors and clean ...

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 ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

Abstract: Python exhibits inferior performance relative to traditional high performance computing (HPC) languages such as C, C++, and Fortran. This performance gap is largely due to Python’s ...

The expansion of this tool will extend support to non Snowflake-native data sources, starting with dbt and Apache Airflow. Users will be able to use the coding agent within their own data engineering ...

Visual Studio Code 1.109 introduces structured, multi-agent workflows that move AI assistance beyond single-chat interactions. Parallel subagents enable concurrent task execution without consuming the ...