Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

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, ...

How we can increase software development velocity with AI-assisted coding without the hangover of runaway technical debt.

Vanguard has introduced Expert Insights, an AI-enabled portfolio analysis tool designed to help financial advisors deliver personalized investment guidance at scale. The generative AI-powered tool, ...

When a Magecart payload hides inside the EXIF data of a dynamically loaded third-party favicon, no repository scanner will catch it – because the malicious code never actually touches your repo. As ...

Q1: How does Claude Code Security function—and how does it differ from traditional static application security testing (SAST)? A1: Conventional rule-based static analysis uses pattern matching, ...

Over the years, "shift left," a development practice that shifts testing, QA and security initiatives "left" on the timeline, has become the cornerstone of DevSecOps. I've watched it become the ...

Anthropic launched Claude Code Security to hand defenders an AI powered vulnerability scan and patch tool, which left cybersecurity stocks crumbling The team at Anthropic has decisively stepped into ...

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 ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...