Abstract: Source code summarization is the task of writing natural language descriptions of source code. The primary use of these descriptions is in documentation for programmers. Automatic generation ...

WSJ’s Kate Clark demonstrates how Anthropic’s new Cowork tool can help non-coders automate their lives–or at least attempt to. Photo: Claire Hogan/WSJ Anthropic is racing to contain the fallout after ...

Claw-code, a clean slate rewrite of leaked Claude Code, is now the fastest growing GitHub repository, reaching 100K stars in one day. Anthropic is trying to contain the genie released from the bottle, ...

Anthropic accidentally leaked part of the internal source code for its coding assistant Claude Code, according to a spokesperson. The leak could help give software developers, and Anthropic's ...

A suspected North Korean hacker has hijacked and modified a popular open source software development tool to deliver malware that could put millions of developers at risk of being compromised. On ...

Hackers hijacked the npm account of the Axios package, a JavaScript HTTP client with 100M+ weekly downloads, to deliver remote access trojans to Linux, Windows, and macOS systems. One malicious ...

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, the flagship AI company, has inadvertently exposed the source code for its major CLI tool Claude Code. It has already been extracted with mirrors published on GitHub. Chaofan Shou announced ...

description: Learn about the steps necessary to migrate default dimensions controls to Dimension Entry controls after code upgrade is run. ms.dyn365.ops.version: AX 7 ...

Most teams have security tools in place. Alerts are firing, dashboards look clean, threat intel is flowing in. On the surface, everything feels under control. But one question usually stays unanswered ...

Abstract: Detecting vulnerabilities in source code using deep learning models is emerging as a valuable research area. The key issue in using deep learning to detect vulnerabilities is the accurate ...