This article explains why project scoping, architecture, testing, and human oversight remain essential, even as AI changes how software gets built.

The future of software creation lies not in writing more code, but in architecting ecosystems of collaborative AI agents.

To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to build a full enterprise-grade production platform.

The discipline of software engineering is undergoing a foundational re-architecting, driven by the rise of autonomous AI agents. Such a transformation is not incremental; it redefines the engineer's very identity by elevating the role from coding (a cognitive task being automated) to orchestration (a strategic,

Code.org founder and chairman Hadi Partovi on why computer science is a liberal art and software engineering is not dead yet.

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,

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.

Kevin Hou, head of product engineering at Windsurf, said competency in three categories makes a "successful" engineer. Those areas are coding, knowing when to seek outside support, and the nebulous "metalearning," he said. Windsurf aims to replicate the ...