Introduction
Microsoft surprised everyone at Ignite 2025 with the exciting launch of Vibe Apps , a remarkable evolution within the Power Platform that significantly redefines how modern enterprise applications are created and developed.
In recent years, Power Platform has offered two main and distinct paths for building applications: Canvas Apps , known for their high flexibility and focus on the user's visual experience, and Model-driven Apps , which leverage the powerful Dataverse data model and an automatically generated interface to optimize processes. With the arrival of Vibe Apps , Microsoft introduces a third path that not only significantly accelerates the journey from initial idea to final solution, but also does so using natural language and advanced AI agents . Furthermore, it incorporates an enhanced modern frontend experience (React) , along with advanced native integration capabilities with essential tools like Microsoft 365 and Copilot. All of this is achieved without compromising corporate governance , which remains a fundamental pillar of the Power Platform ecosystem.
What are Vibe Apps?
Vibe Apps are applications generated by Vibe Coding , a process where you describe what you want and the platform plans, models data (Dataverse), and builds a complete React frontend . The maker can view and review the code , iterate the solution with new insights, and publish the app as a governed Power Platform resource ( Microsoft Entra ID authentication , connectors, DLP, pipelines, telemetry).
- Conversational Development (Vibe Coding) : You write the prompt; the experience includes an Enhance Prompt button , which is responsible for refining, improving and completing the requirements provided before proceeding with the generation of the plan and the corresponding model.
- Modern React frontend : AI generates contemporary and highly functional screens and components (e.g., drag-and-drop kanban ) that far exceed the capabilities of traditional Canvas UI; the maker can inspect the generated code and continue developing efficiently without having to write it manually from scratch.
- Backend Dataverse : Create tables, relationships, and business logic solidly based on the corporate data model, ensuring a structured and efficient foundation for your applications.
- Integration with agents (Copilot/Microsoft 365) : Agents can efficiently and seamlessly read, write, and operate on the app using the new and advanced Model Context Protocol (MCP) Server, specially developed to improve functionality and experience in Power Apps.
- End-to-end governance : comprehensive management including inventory, DLP, sharing limits, deployment pipeline monitoring, health metrics tracking, and detailed agent auditing, all accessible directly from the PPAC
Key innovations announced at Ignite 2025
1) Vibe Coding (Preview)
The new development platform at vibe.powerapps.com provides an advanced environment that facilitates collaboration between creators and developers with agent teams , enabling them to define requirements , structure the data model , and develop a full-stack application in minutes. The official demo, along with coverage provided by the MVP community (Shane Young), showcases applications that integrate a React frontend and a Dataverse backend , generated from specific instructions.
Availability Note: This experience is currently in preview and is not recommended for production environments. It is currently only available in English and in environments located in the United States , and requires Copilot to be enabled .
2) Power Apps MCP Server (Preview)
MCP Server establishes a connection between artificial intelligence agents and the advanced functionalities of various applications, such as intelligent form filling, CRUD operations on records, queries, and the creation or updating of tables, using an open protocol . Dataverse assumes the role of MCP server , being compatible with tools such as Copilot Studio , GitHub Copilot (VS Code) , or third-party clients, such as Claude.
The available MCP tools include: create_record, list_tables, read_query, update_record, create_table, search, fetch, and others. It should be noted that, as specified in the official documentation, the use of MCP tools from external agents to Copilot Studio will be subject to charges starting December 15, 2025 .
3) Agent Feed (Preview)
A centralized dashboard within model-driven apps designed to comprehensively monitor agent activity. This dashboard provides detailed information on completed tasks, pending tasks, errors, step-by-step execution maps, AI-generated summaries, and processes requiring manual approval . Its implementation is currently being rolled out gradually , it is only available in English , and for the time being, only the agent owner has access to the activity history.
4) Copilot in Power Apps
Microsoft 365 Copilot operates in context using application data and Microsoft Graph . This advanced feature can analyze information , create visualizations , and coordinate actions directly from its interface. It also provides visibility into the code it executes, such as Python scripts, through the Copilot dashboard.
5) Expanded Governance and Security (PPAC)
Advanced inventory and reporting features are integrated for applications, automations, and agents. External applications can be deployed on Power Platform via Microsoft Entra , ensuring controlled and governed access to over 1,400 connectors . All of this is subject to corporate DLP, workflow, and telemetry policies .
Key benefits
- Speed : going from idea to application in minutes.
- Accesibilidad: democratiza el desarrollo, incluso para quienes no son programadores.
- Modernización: interfaces más ricas que las Canvas Apps tradicionales.
- Ecosistema unificado: integración nativa con Microsoft 365, Viva y Copilot.
- Transparencia: el agente muestra el código, fomentando confianza y aprendizaje.
Availability and current requirements
Risks and best practices
- Functionality maturity : As it is in preview status , it is recommended not to use it in production environments . Its implementation should be prioritized in controlled environments, such as sandbox systems and under feature flag management .
- Traceability and Privacy : Configure Agent Feed and PPAC to conduct action audits; monitor compliance with applicable regulations, such as GDPR or local regulations, and manage agent access to sensitive data.
- Prompt quality : The more specific , the better the result; use Enhance Prompt and iterate with human feedback. Context and details : Providing the right context and relevant details is key to getting accurate and useful answers. Be sure to include specific information about the topic, target audience, or purpose of the content you want to generate. The more complete the picture you offer, the better the model will be able to deliver relevant, high-quality results.
- Code review : While it is not strictly necessary to modify React, performing a thorough inspection of the code and carrying out a rigorous testing process in the application contributes significantly to the prevention of errors and reinforces confidence in its functionality.
Practical example
Imagine a company that needs to develop a practical and efficient app to manage all internal requests in an organized way.
- The manager describes: “I want an application where employees can submit vacation requests, which are saved in Dataverse and which managers can approve from their mobile phones.”
- The Vibe agent automatically generates the application with forms, approval workflows, and tracking dashboards.
- In minutes, the company has a ready-to-use solution, with a modern interface and connected to the Microsoft ecosystem.
Conclusion
Vibe Apps embody the vision of AI-powered low-code that accelerates solution delivery and enhances user experience without compromising corporate security and governance . With Vibe Coding , MCP Server , Agent Feed , and Copilot integration , Power Platform is positioned for a future of conversational development and human-agent collaboration that can transform workflows and productivity across the organization. The recommendation today: experiment in preview with low-risk use cases, formalize governance practices , and pave the way for broader adoption as capabilities move to general-purpose ( GA).
















