Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by ...

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

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

At Simulation World Detroit, executives shared their views on the early integration of AI, data, models, and simulations to ...

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

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

Master prompts with the 2026 guide to roles, tasks, context, examples, output, and constraints, with steps for chain of thought and verification ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

A companion paper, Integrating Sustainability into Software Engineering Education: A Course Redesign Initiative, compliments ...

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