Matt Brailsford discusses how AI coding assistants have transformed his workflow, particularly through the use of git worktrees for parallel development. He addresses the "Port Discovery Problem" when multiple demo sites need to run simultaneously, proposing a solution using named pipes for local communication, enhancing reliability and simplifying tooling.
In this episode of #umbraCoffee, Marcin and Callum discuss their winter experiences, the growth of the Umbraco community, and developments in web frameworks like Tailwind and Astro. They highlight upcoming events, community engagement, security concerns, and the importance of AI integration and ISO certification for Umbraco.
An MCP (Model Context Protocol) server for Umbraco CMS that unlocks AI-powered content management via the Umbraco Management API.
In this week's Devril deep dive, Sebastiaan and Lotte explore two new packages from Blend Interactive for configuring sitemap.xml and robots.txt files in Umbraco. Sebastiaan demonstrates using Claude Code with the Umbraco MCP Server to streamline the setup process, highlighting the importance of community sharing in navigating these tools.
2026-02-05 from 18:30 to 20:30 (Europe/London) - MSQ DX - Leeds Office, 28 Sovereign Street, Leeds, West Yorkshire, GB
Featuring guest posts by Bishal Tim on "Fully Automating Umbraco v17 Backoffice with AI + Umbraco MCP" and Shelly Chauhan on "Setting Up Umbraco With Umbraco Commerce"
In this session, Tesh Kumar introduces Phil Whitaker, who discusses the Model Context Protocol (MCP) at Umbraco. MCP facilitates AI integration with large language models, enhancing task efficiency. Phil emphasizes the importance of clear API error messages, context engineering, and strategic management for improving AI tools through collaboration and feedback.
In a mildly sarcastic exploration, Tobias Høst reflects on Umbraco MCP Server, a tool designed to automate CMS tasks through prompts. While it offers potential for non-developers to simplify content creation, the author highlights challenges in effective prompting and automation. Ultimately, MCP represents a hopeful, if chaotic, glimpse into the future of CMS technology.
Aditya Bhatti describes the development of the AI Content Helper, a custom App Plugin for Umbraco 17 that integrates Google Gemini AI to generate content directly from the Umbraco dashboard. The plugin allows editors to create page summaries, meta descriptions, and more, enhancing workflow efficiency with a simple backend integration.