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Source channel @githubtrending · Post #15513 · Feb 20

#python#agents#claude#cursor#databricks#vibecoding The Databricks AI Dev Kit enhances AI-driven development by providing your coding assistant (Claude Code, Cursor, etc.) with trusted Databricks knowledge and best practices. It includes a Python library, MCP server with 50+ tools, markdown skills teaching Databricks patterns, and a web-based builder app. You can build Spark pipelines, jobs, dashboards, knowledge assistants, and deploy ML models faster and smarter. The benefit is that your AI coding assistant gains direct access to Databricks functionality and patterns, enabling you to develop data and AI applications more efficiently with built-in governance and best practices. https://github.com/databricks-solutions/ai-dev-kit

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О городах и данных

@datainthecity · Post #253 · 12/12/2024, 12:18 PM

While there is a constantly growing number of publications about the integration of large models (#LLMs, Visual language models) with spatial apps—both academic and marketing 😎 — we added our two bits from solving real business cases. Next time you see a lot of comments under another LinkedIn post featuring #geoai and #arcgis as a game changer of this integration, take a deep breath and remind yourself about hitting the target. 😃