“Once contribution and reputation building can be automated, the attack surface moves from the code to the governance process around it. Projects that rely on informal trust and maintainer intuition ...

OpenAI CEO Sam Altman announced that OpenClaw creator and software developer Peter Steinberger is joining to lead the next ...

As their stocks tank, software makers are rebranding themselves as A.I. innovators. Sparkle emojis are everywhere, but some efforts have been more successful than others.

From technical compromise to AI-driven attacks, cyber criminals increasingly see software developers as prime targets, creating systemic risks CISOs must address.

OpenAI launches the Codex desktop app to help developers manage multiple AI agents working on software projects.

It took Rebecca Yu seven days to vibe code her dining app. She was tired of the decision fatigue that comes from people in a group chat not being able to decide where to eat. Armed with determination, ...

Caleb John (left), an investor with Pioneer Square Labs, and Lucas Dickey, a longtime entrepreneur, helped host the Claude Code Meetup in Seattle on Thursday. (GeekWire Photos / Taylor Soper) Claude ...

Graduates at some of the top universities are finding it nearly impossible to find new jobs in software engineering. New reporting by the Los Angeles Times details the trouble recent graduates are ...

According to Jeff Dean on Twitter, sharing specific small snippets of code can effectively demonstrate AI techniques, providing developers with practical and actionable examples to accelerate AI ...

A new technical paper titled “A Vertically Integrated Framework for Templatized Chip Design” was published by researchers at University of Southern California. “Developers who primarily engage with ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.