A guide to managing context in Gemini CLI, a terminal-native AI development tool, using files, memory, and MCP servers.
A guide to integrating Dremio's data lakehouse platform with Amazon Kiro's AI IDE for data querying, app building, and pipeline generation.
A guide to connecting Dremio's data lakehouse platform with Claude Code, enabling the AI coding agent to query live data and build data applications.
A guide to integrating Google's Gemini CLI with Dremio's data platform for querying, building data apps, and generating SQL using AI.
A guide to integrating Dremio's data platform with JetBrains AI Assistant for enhanced data querying, pipeline generation, and app development within JetBrains IDEs.
A guide to integrating the Dremio lakehouse platform with the OpenCode AI coding agent for data querying and application development.
A guide to integrating Dremio's data lakehouse with the OpenWork AI agent for local, secure data querying and application development.
A daily tech reading list covering AI agents, cloud development, software engineering trends, and new tools like Gemini CLI and jQuery v4.
Guide to integrating HashiCorp's Terraform MCP Server into GitHub Actions for AI-enhanced, real-time infrastructure validation.
A guide to building a Model Context Protocol (MCP) server using a ready-made TypeScript template that handles boilerplate setup.
Explores using a reference application and GenAI to maintain code standards and detect drift from service templates in software development.
Building an MCP server on Azure Functions to send emails using Azure Communication Services, with two authentication scenarios.
A technical guide on implementing end-to-end user authorization for MCP servers using Entra ID, OAuth 2.0, and on-behalf-of flows.
Learn how to use C# to connect to Hugging Face MCP Server and generate AI images through a step-by-step technical tutorial.
Introduces Peekaboo MCP, a macOS tool that enables AI agents to capture screenshots and perform visual question answering using local or cloud vision models.
A tutorial on building a beginner-friendly Model Context Protocol (MCP) server in Python to connect Claude AI with local CSV and Parquet files.
