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pbip-demo-agentic-mcp

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# 🔍 What is Agentic Development?

Agentic development is a new paradigm where developers shift from writing code or using UI applications to guiding intelligent agents. The developer defines the what - the requirements, rules, and intent - and the AI agent handles the how - generating specs, implementing the model, running validations, fixing issues, and iterating toward a working solution.

You can achieve agentic development in Power BI combining the following features:
- Open file formats with [Power BI Project file format (PBIP)](https://learn.microsoft.com/power-bi/developer/projects/projects-overview) with [TMDL language](https://learn.microsoft.com/analysis-services/tmdl/tmdl-overview) and [Power BI enhanced Report format (PBIR)](https://learn.microsoft.com/en-us/power-bi/developer/projects/projects-report?tabs=v2%2Cdesktop). 
- MCP Server [powerbi-modeling-mcp](https://github.com/microsoft/powerbi-modeling-mcp)
- Ensure the AI has context information on your Power BI development style. See [.kb/](.kb/) for an example.

>[!IMPORTANT]
>**powerbi-modeling-mcp** is currently in private preview. If you're interested in trying it out, sign up [here](https://forms.office.com/r/0MXYd6uzwE).

▶️End-to-End demo: [here](https://www.youtube.com/watch?v=7fNDTvLbN2A)

See the branch [final](https://github.com/RuiRomano/pbip-demo-agentic-mcp/tree/final) to inspect the final output.

# ⚙️ How does it work?

1. Create a high-level requirement docs, similar to [requirements.md](.input/requirements.md).
2. Prompt AI agent to create a new semantic model but create a spec before implementation. [prompt example](.input/prompt.md). Give it context about your Power BI development style.
3. AI creates a development spec – readable, reviewable, and adjustable.
4. You review the spec, and when OK. Just say **GO** and the agent starts implementing the spec autonomously.
5. You can ground the development with Best Pratice Analysis (see [.bpa/](.bpa/)). And autonomously fixes issues and iterated until there are no issues.
6. You open the Power BI application and review the result, just like you would with a teammate’s pull request.

>[!IMPORTANT]
>Its very important to provide AI knowledge/context about your Power BI development style and Power BI concepts such as PBIP structure. See [.kb/ folder](.kb/).

# 🧪 Try it yourself

1. Clone this Repo into your laptop
2. Install [Visual Studio Code](https://code.visualstudio.com/)
3. Install[GitHub Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot) and [GitHub Copilot chat](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot-chat)
4. Open Github Copilot Chat in [Agent mode](https://code.visualstudio.com/blogs/2025/02/24/introducing-copilot-agent-mode)
5. Copy and paste the [prompt](.input/prompt.md) into the chat.
6. Review the generated development spec, then prompt Copilot to proceed with implementation.

pbip-demo-agentic-mcp

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