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

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

Software development has fundamentally changed in the past 18 months. AI-assisted coding and engineering went from novel and ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated ...

Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into ...

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

The growing complexity of wastewater treatment models often makes it difficult for researchers, engineers, and students to develop, validate, and apply these essential tools. To bridge this gap, a ...

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

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

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

As the authors explain, the benefits of using BIM for hydropower and dams were observed from project conception to the ...

Explore how utilities and EPCs are embracing collaborative models and digital tools to accelerate power projects amid supply ...