Researchers say they’ve discovered a supply-chain attack flooding repositories with malicious packages that contain invisible code, a technique that’s flummoxing traditional defenses designed to ...

Abstract: This paper presents the results of finetuning large language models (LLMs) for the task of detecting vulnerabilities in Java source code. We leverage WizardCoder, a recent improvement of the ...

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

The quarterly release of Eclipse IDE 2026-03 brings some new features alongside bug fixes, such as the Java refactoring function "Convert Class to Record".

These start-ups, including Axiom Math and Harmonic, both in Palo Alto, Calif., and Logical Intelligence in San Francisco, hope to create A.I. systems that can automatically verify computer code in ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Anthropic, a smaller rival started by OpenAI defectors, has found runaway success with its programming agent, Claude Code.

New capability delivers compliant, rich, analysis-ready SBOMs from a single folder-based workflow—even for mixed and ...

Amjad Masad’s Replit allows users to work together like they’re doodling on a white board. It also made him a billionaire along the way.

Coffee is the original biohack and the nation’s most popular productivity tool. As we adjust to the changeover to daylight ...

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 ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...