Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by curating your company’s core engineering knowledge.

With one-third of U.S. engineering roles projected unfilled by 2030, AI agents could be the path to sustainable innovation.

Article examining procedural discussions, engineering workflows, and regulatory communication structures surrounding Inspire Medical Systems, Inc., with emphasis on implantable respiratory device ...

When people think of the way new technologies are developed, they often think of the end product that people see on the shelf ...

Smart quality principles can quickly generate returns that outweigh investments in new systems. McKinsey’s lab case study ...

Under ~100ms, interactions feel instantaneous. Over ~1s, they feel like work. Invisible software feels fast because it never ...

Artificial intelligence (AI) is automating core parts of software development, forcing engineers to rethink their roles.

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

Chemical Engineering vs. Mechanical Engineering: The decision between Chemical Engineering (ChE) and Mechanical Engineering (ME) ultimately boils down to weighing career flexibility against ...

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...