The New AI Builder Stack Is Shrinking Development from Months to Hours

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There is something pretty remarkable happening in AI development right now. Work that once required weeks of infrastructure setup, pipeline integration, and specialized engineering can increasingly be done in an afternoon. The interesting part is what’s making that possible. Coding agents are getting much of the attention, but the real acceleration comes when those agents have access to a complete, functioning data and inference stack. That’s the idea behind the VAST Builders Challenge, a series of hands-on, single-day events where developers build working video AI applications using Cursor, NVIDIA models, CoreWeave GPU infrastructure, and VAST AI OS. Rather than spending their time configuring storage, moving video datasets around, or wiring up inference pipelines, participants arrive with the heavy lifting already done. They can focus on building something useful. In this episode of Shared Everything, I talk with Brian Verkley, Director of AI Data Platform at VAST Data, and Ram Bansal, Senior Developer Advocate at VAST Data, about what happens when you remove those infrastructure barriers and give developers access to tools and datasets they might never have been able to work with otherwise.

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