CodeSignal, the leading AI-native skills platform, today launched agentic coding assessments, a new category of technical hiring evaluation designed to measure what engineers can build when working with agentic AI tools,

Traditional developers, even highly skilled ones, tend to work in the opposite direction. They write code first and reach for AI to assist at the margins: autocomplete, occasional debugging, documentation cleanup. AI is additive to an existing workflow. For AI-native engineers, AI is structural to the workflow itself.

Wayfound.ai, led by CEO Tatyana Mamut, uses AI agents to transform software development, challenging the traditional SaaS model.

AI has radically changed what coding looks like. We asked software engineers how they felt about it. Andrej Karpathy coined the term "vibe-coding," or the creation of code using AI. The term has since gained traction among developers worldwide and was ...

Perhaps one of the most important decisions that an engineer will have to make today is what to build and what to integrate.

One of the hottest markets in the artificial intelligence industry is selling chatbots that write computer code. Some call it "vibe-coding" because it encourages an AI coding assistant to do the grunt work as human software developers work through big ideas.

Vibe coding can make programmer faster and more fun, but it has limits, engineers say.Julian Stratenschulte/picture alliance via Getty Images Kevin Wu, CEO and cofounder of the AI voice agent startup Leaping AI, said everyone is vibe coding. But that doesn ...

Software engineers embracing the AI coding revolution don’t have much loyalty to any particular coding tool, especially when a new, better one comes out. In the latest example of that, the growth of Anthropic’s Claude Code and OpenAI’s Codex is outpacing that of Cursor among hundreds of

How LLM agents present AI software engineering workflows of the future, and whether the focus of programming will shift from scale to trust. Software engineering is undergoing a disruptive phase of greater automation owing to the emergence of large language models (LLMs) that generate and edit code.