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Age of Agents | Data Brew | Episode 41
Data Brew by Databricks
Navigating AI Coding Agents and User Interaction
This chapter explores the distinctions between AI coding agents and tools like GitHub Copilot, drawing parallels with self-driving car autonomy. It emphasizes the importance of human feedback in refining these agents and discusses the complexities of user interactions and the architectural aspects of developing reliable software agents. Additionally, the chapter highlights the need for observability in system design and strategies for effective memory management to enhance AI agent performance.
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