AI in CI/CD: The Engineering Layer That Makes ADLC Actually Work

Learn how to build a holistic pipeline for rigorous, statistical EDA, validating several important data properties.

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It’s quite clear that agentic coding has completely taken over the software development world. Writing code will never be the same. Shoot, it won’t be long before we aren’t writing any code at all because agents can write it better and faster than we humans can. That may already be true today.  But there is more to software development than merely writing code, and those areas—source control, documentation, CI/CD, project management—are ripe for some serious disruption from AI as well. Those areas may well be hit harder than coding itself.  I would imagine that if you were in the business of analyzing data and providing dashboard-level insights into that data, then you would be very worried indeed about what AI is going to do to your value proposition. Much of the SaaS industry is in the business of analyzing existing data, and that is exactly what AI agents can do well. When a simple question can get straight to the heart of what a pricey dashboard provides, then companies have to que