Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today warned enterprises of a growing Java application modernization crisis driven by technical debt and converging ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

AI-generated code is not experimental. It is actively running in production environments in SaaS platforms, fintech systems, marketplaces, internal tools, and customer-facing applications. From AI ...

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 ...

Snap-on has been making its own tools in the U.S. for decades now, and throughout that time, the company has become world-renowned for building some of the most durable and high-quality tools on the ...

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, ...

Abstract: Static code analysis techniques examine programs without actually executing them. The main benefits lie in improving software quality by detecting problematic code constructs and potential ...

Abstract: Modern software relies on a multitude of automated testing and quality assurance tools to prevent errors, bugs and potential vulnerabilities. This study sets out to provide a head-to-head, ...

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool. The promise of static application security testing (SAST) has always been the ...