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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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@djangoproject · Post #235 · 01/18/2017, 05:27 PM
http://www.aparat.com/v/Cjarf Happy Asset Deployments With Webpack & Django by Scott Burns Webpack What is it? What does it do? Source transformations Output Why #Djangos collectstatic is not up to the job? Must run after #deployment Doesn't do all the things Slow Integration on both sides Webpack bundle tracker to output build stats Django #Webpack bundle loader to read those files How to render links in templates.
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