Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

Survey of 450 automotive development professionals finds early adoption of modern toolchains key to maintaining competitiveness and software quality in AI-driven vehicle development. MINNEAPOLIS, ...

Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

Discover how AI-driven smart contract auditing detects vulnerabilities, improves security, and ensures safer blockchain deployments.

As decentralized applications continue to grow in the blockchain environment, Smart Contract Vulnerability Scanning has become a core concept for building trust in decentralized finance and Web3.

International Business Machines stock is getting slammed Monday, becoming the latest perceived victim of rapidly developing AI technology, after Anthropic said its Claude Code tool could be used to ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...

On Monday, Anthropic announced a new tool called Cowork, designed as a more accessible version of Claude Code. Built into the Claude Desktop app, the new tool lets users designate a specific folder ...

Writing clean, bug-free code is a point of pride for any developer. For decades, tools that measure code quality have been a staple of the software development lifecycle, helping teams eliminate bugs, ...