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

AI coding assistants can speed up bounded tasks, but research shows security and review risks rise in complex codebases.

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.

LevelBlue says QuimaRAT uses encrypted plugins, OS-specific persistence, and JNA libraries to control Windows, Linux, and ...

Buffer overflow vulnerabilities have driven remote code execution for decades and keep appearing in critical network ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Application security has spent years maturing around a relatively stable assumption: a human ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Learn how malicious AI agent skills easily bypass static scanners. Discover how runtime checking secures tools like Claude ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.