This article outlines two methods to connect Kiro IDE to Databricks: a quick setup using four managed MCP servers, or a one-click install via the Databricks AI Dev Kit Power. Both approaches leverage Unity Catalog metadata to ground AI assistants, ensuring they only access authorized data and reducing hallucinations. The article also highlights Databricks' advantages for AI-assisted development, including unified governance, a single data copy, and an integrated AI stack.

This article explores building custom agent harnesses using LangChain's create_agent and middleware. A harness is the scaffolding connecting a model to the real world; customizing it is key to agent usefulness. Middleware hooks into the agent loop at each step, enabling deterministic logic, tool lifecycle management, custom state, and stream handling. Task-harness fit determines effectiveness.

AWS Deep Learning AMI and Deep Learning Containers now support SOCI snapshotter and index. SOCI enables efficient container image management through selective file downloading (lazy loading) and parallel pull modes, significantly reducing container startup times. This post explains how SOCI works, when to use each mode, and provides performance benchmarks.