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,

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

In a six-week pilot program, KPMG US tax staffers used vibe coding to create software tools the firm said it now uses with clients.

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.

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.

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For decades, building software required significant cost. You needed people and process. You needed tools, infrastructure, sprint cycles, coordination plus capital, structure, and distribution plans.

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