Articles related to Engineering Software and Test Automation
AI can generate test software faster than ever, but physical validation still determines whether the system can be trusted. This article examines how AI shifts the engineering bottleneck from code creation to verification, evidence, and release.
Too many engineering projects begin with vendor quotes instead of business objectives. Learn why defining the project first leads to better engineering decisions, stronger requirements, and more effective equipment selection.
AI is removing friction from engineering, not removing engineering. AI can write code, summarize manuals, generate SCPI commands, and accelerate documentation. But in production test systems, the job is still delivering reliable systems that work.