Exact AI Prompt to Generate Any Revit Plugin From Scratch
If you are interested in Revit plugin development and want to dramatically speed up your workflow, this tutorial is for you. This is not a concept demo or pseudo code. By the end of the video, you will see a real Revit plugin written in C#, targeting .Net 8, complete with a ribbon tab, buttons, a WPF interface, and working Revit transactions.
Resources
What This Tutorial Covers
In this step-by-step walkthrough, you will learn how to use AI as a true development assistant for Revit API projects.
Key topics covered include
• Setting up Visual Studio correctly for Revit plugin development
• Using GitHub Copilot Chat in Agent mode inside Visual Studio
• Writing precise AI prompts that generate production-ready architecture
• Creating a Revit ribbon tab with multiple buttons
• Building a WPF window using MVVM
• Running Revit transactions safely and correctly
• Debugging AI-generated code and fixing real-world API issues
🤖 This workflow is designed for Revit developers, BIM managers, and anyone who wants to learn Revit API faster with AI.
The Result: A Real Working Revit 2025 Plugin
By following the tutorial, the AI generates a complete Revit add-in that includes
• A custom ribbon tab inside Revit
• A command that opens a WPF window
• A button that counts all walls in the active model
• A second ribbon command that creates walls using a transaction
• Clean project structure following MVVM principles
• Proper deployment using .addin files
✨ Most of this is generated from carefully written prompts, not manual coding.
Why Prompt Quality Matters in Revit API Development
One of the biggest takeaways from this video is that AI output quality depends entirely on how specific your instructions are.
In the tutorial, I show how to
• Explicitly target Revit 2025 and .Net 8
• Enforce correct Revit API interfaces
• Define file structure and class responsibilities
• Specify deployment rules and debugging setup
• Prevent common AI mistakes before they happen
📌 Vague prompts lead to vague plugins. Structured prompts lead to professional results.
Debugging AI-Generated Revit Code
AI is powerful, but it is not perfect.
In the video, you will see a real runtime bug where walls are created on the wrong level.
This is where Revit API knowledge still matters.
You will learn
• How to inspect AI-generated logic
• Why some Revit view properties return null
• How to fix level hosting issues using Gen Level
• How to rerun and validate the corrected command
🧠 AI accelerates development, but you are still the developer.
Who This Tutorial Is For
This video is ideal if you are
• Learning Revit API and C#
• Building internal Revit automation tools
• Exploring AI-assisted development workflows
• Tired of writing boilerplate Revit plugin code
• Interested in GitHub Copilot beyond VS Code
Whether you are a beginner or an experienced Revit developer, this workflow scales extremely well.
Why Use GitHub Copilot Inside Visual Studio
Unlike lightweight editors, full Visual Studio allows GitHub Copilot to
• Modify multiple files at once
• Resolve build errors automatically
• Add references and resources correctly
• Configure Revit debugging properly
⚡ This makes it ideal for serious Revit plugin development.
Watch the Full Tutorial
If you want to see the full workflow in action, including the exact prompts, generated files, debugging process, and final results, make sure to watch the embedded video above ▶️
If you found this useful, consider liking the video and subscribing to the channel. I regularly share content on Revit, Dynamo, automation, and AI-driven workflows to help you work faster and smarter.
Happy coding and see you in the next tutorial 😊
