What three years of working with AI taught me about building software without losing control A few days ago, I was talking with Rafa, a colleague and a friend who has shared many battles with me. I was trying to explain what I had learned after more than three years of hands-on research and work with artificial intelligence: months of development, experiments, broken and repaired code, prompts that seemed brilliant but were not, late nights, mistakes, and repeated trips back to square one. As we talked, I shared that everything is distilled into the idea far simpler than any collection of prompts: Architecture and governance before engineering. At the beginning, I thought the challenge was to make AI do more: write more code, understand instructions better, or solve a larger task with less intervention. Today, I believe that was the wrong question. The real challenge is to ensure that AI makes sound decisions within clear boundaries, without replacing human authority or causing u...
Data Platform Architecture & AI Engineering
Essays, architecture insights and reflections on data, AI and society