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
andcompleting 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.
1. 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.”
2. The Vibe agent automatically generates the
application with forms, approval workflows, and tracking dashboards.
3. 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).


















