Take back control of your AI coding workflow
DeepLearning.AI and JetBrains launch course on flexible, local AI coding workflows
“This course isn't about finding the one right setup. It's about learning how to think about your setup so you can keep making good choices as the tools change.”
DeepLearning.AI partnered with JetBrains to release a course teaching developers how to build flexible AI coding setups using open harnesses, multi-model routing, and local inference as alternatives to locked-in cloud agents like Cursor and Codex. The course emphasizes cost, privacy, and control as key reasons to move beyond convenience-first tools. This reflects a broader industry trend toward developer sovereignty in AI tooling, though the content is educational rather than a product or research announcement.