I in my previous article, “From Code to Insights: Software Engineering Best Practices for Data Analysts” , that engineering skills and best practices can be incredibly useful for analysts and other data professionals.

This is even more true now in the AI era, when we have far more opportunities to build our own analytical tools: from fancy data viewers that display charts or showcase different scenarios, to simulators that can predict outcomes based on input parameters. Personally, I use web applications all the time in my day-to-day work.

There has been a lot of hype around vibe coding, but it seems that professional engineers are already moving beyond it and leaning more toward spec-driven development.…