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 ...

Integrating a Secure Product Development Framework into the product development lifecycle can help ensure security from the ...

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

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

Machine Tool Camp’s purpose-built systems combine CNC machine centers and robots with specialized machining tools, clamping ...

Qodo calls its secret sauce context engineering — a system-level approach to managing everything the model sees when making a ...

Coherix is expanding its production and product development space to meet growing demand for AI-based systems to control the ...

Platform thinking provides a sustainable path forward. It creates QE ecosystems that scale, empower teams and deliver ...

In March, CoLab announced $5.6 million CAD in financial support through an industry partnership with ExxonMobil to expedite the development of new AI products. The funding supported around 60,000 ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...