Axiom Quant Inc. said today it’s ready to step up to the plate and make sure that the tsunami of artificial intelligence-generated code is safe, secure and accurate after raising $200 million in early ...

For the past three years, I've watched a pattern repeat itself across software engineering organizations—from early-stage startups to publicly traded software companies. The team adopts an AI coding ...

Anyone can code using AI. But it might come with a hidden cost. Over the past year, AI systems have become so advanced that users without significant coding or computer science experience can now spin ...

When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...

This article is part of AI Week. Since the start of the current wave of excitement around generative AI, coding has been viewed as a field that is ripe for implementation of the tech. After all, the ...

AI is generating code faster than humans can ever hope to verify. If your QA strategy hasn’t evolved to match the speed of AI generation, your systems are living on borrowed time. AI code generation ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...

Developers are adopting AI coding assistants at a rapid clip, but a growing body of peer-reviewed research shows that machine-generated code frequently ships with serious security flaws. Across ...

The rise of AI has been changing the focus of Code.org for the past two years. On Tuesday, the Seattle-based computer science education platform acknowledged the shift and rebranded as CodeAI. “In the ...

At Anthropic—an AI lab building some of the world’s most advanced models—engineers are no longer writing the code that powers their products; they’re outsourcing it to AI. The head of Anthropic’s ...