Norman Fenton Group

I’ve spent years working with various tools and frameworks within the computer software space, and one thing that keeps coming up for me is how quickly the landscape shifts once AI gets involved. There was a time when adding automation to workflows meant a bunch of custom scripts and brittle integrations, but now even mid-sized teams are looking at how to build intelligence directly into their tools and services. When I was researching how software teams are approaching this transition I found explanations that really broke down what’s unique about AI-enabled solutions versus traditional software design. Learn more about how modern practices are blending machine learning with everyday development tasks and it helped me rethink some of our own priorities. For me it’s been eye-opening to see how the right architecture and strategy can turn AI from a buzzword into something genuinely useful in day-to-day work.