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A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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  1. 01Context Management Strategies for T3 Chat: A Complete Guide to the Unified Multi-Model AI InterfaceT3 Chat is a modern web-based AI chat interface that gives you access to multiple AI models through a single unified platform. Its primary value proposition ...
  2. 02Context Management Strategies for Zed: A Complete Guide to the High-Performance AI Code EditorZed is a high-performance code editor built in Rust that prioritizes speed, simplicity, and real-time collaboration. Its AI integration is designed to be fas...
  3. 03Context Management Strategies for VS Code with LLM Plugins: A Complete Guide to Building Your Own AI-Powered IDEVisual Studio Code is the most widely used code editor in the world, and its extensibility means you can integrate AI capabilities through a growing ecosyste...
  4. 04The Model Context Protocol (MCP) Explained: A Complete Guide to How Every Major AI Tool Connects to External DataThe Model Context Protocol (MCP) has become the universal standard for connecting AI models to external tools, data sources, and services. Originally open-so...
  5. 05How to Use Dremio with Claude Code: Connect, Query, and Build Data AppsClaude Code is Anthropic's terminal-based coding agent. It reads your files, writes code, runs commands, and maintains context across a session. Dremio is a ...
  6. 06How to Use Dremio with Amazon Kiro: Connect, Query, and Build Data AppsAmazon Kiro is an agentic AI IDE from AWS that introduces spec-driven development to the coding workflow. Instead of jumping straight to code, Kiro helps you...