AI assisted development is becoming indispensable for data engineers, helping them build pipelines faster, troubleshoot issues more efficiently and navigate increasingly complex data platforms. To get the most out of these capabilities, teams can use AI directly inside Databricks with Genie Code alongside leveraging AI in their local development environment through the AI Dev Kit.
In this webinar, we’ll explore both approaches and demonstrate how they complement each other throughout the development lifecycle.
You’ll learn:
1️⃣ Debugging failed jobs, broken transformations and data quality issues
2️⃣ The strengths of an integrated Databricks experience with Genie Code
3️⃣ The benefits of AI-assisted development in a local IDE
4️⃣ How to combine Genie Code and your AI Dev Kit to seamlessly cover your end-to-end workflow
5️⃣ Tips & best practices for AI-assisted data engineering
