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

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.

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 ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Anthropic reports 65% of its product team's code is AI-generated by Claude, a statistic often misinterpreted as broad ...

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

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 ...