Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment

This story is from 2026-10-04. It is preserved in the archive; the latest stories are on the live feed.

Building an AI system takes much more than writing code. Traditional software often follows a straight path: plan, build, test, ship. AI projects are different. They move through connected stages that keep looping back on each other, because what you learn from the data and from evaluation changes…

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1. 2026-10-04 11:04 · DEV Community — AI
   Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment