Use Visual Studio Code for agentic Power Platform development
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Claude Code, Dataverse skills and PAC tooling can create environments, solutions, data models and sample data from prompts.
TL;DR
Visual Studio Code with Claude Code and Microsoft Dataverse skills can create a Dataverse environment, connect an auth profile and workspace, create a solution and publisher, build an expense data model, and load sample data from prompts. The setup still requires a tenant, an environment, sufficient admin access and Dataverse expertise.
Original by Nick Doelman, on The ReadyXRM Blog. Read the original
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Learn Dataverse and solution structure before relying on agentic prompts, because the source says the tool does not replace solution architecture knowledge.
- Admins/CoE: Review environment creation, auth profiles, MCP server approval and unmanaged solution use, because the workflow performs administrative setup from Visual Studio Code.
- Security/Compliance: Check how refresh tokens and the local .env file containing environment and tenant details are handled before adopting the workflow.
Frequently asked questions
What do I need to build Dataverse with VS Code and an AI agent?
You need a Power Platform tenant with an environment, admin-level access to the tenant, an agentic coding tool, a GitHub account for source control and Visual Studio Code, which is free and cross-platform.
Is a free AI subscription enough for building Dataverse solutions in VS Code?
Free tiers work, but according to the author you burn through the credits fast. He uses Claude's Max plan himself because he uses Claude Code every day and needs the capacity.
Does building with an AI agent in VS Code replace Dataverse knowledge?
No. The author states plainly that you still need to understand how Dataverse works and how apps fit together to build something good.