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As detection engineers, we're constantly balancing the need for rapid development with the complexity of distributed data systems. When working with Databricks notebooks, this challenge becomes particularly acute—we need the power of AI assistance for code generation while maintaining the ability to execute and test our work

As detection engineers and software developers, we often face the challenge of navigating large, complex codebases when implementing new features or starting new projects. Design docs are an essential part of this process, but creating them can be both time-consuming and complex. Why Design Documents Matter Design documents are crucial

I recently setup an MCP server for our Detection and Response (DnR) repository and it's changed the way I interact with the content there. In this post I'll explain how I enabled Claude Desktop to interact with our detection repo, and the capabilities it has unlocked