Everything you need to know.

PlutoAI is an agentic software engineering platform that lets you build software by describing what you want in plain language. Aris Mini can build the frontend, backend, database, authentication and other parts of the application, then continue working on the project after the first version is ready. The goal is not just to generate code. PlutoAI is built to help you build, debug, deploy and improve software over time.

Vibe coding is a way of building software by describing what you want instead of manually writing every line of code. With PlutoAI, you can describe an idea such as a SaaS product, website, dashboard or internal tool and let an AI software engineer turn that idea into working software.

Vibe maintaining is the idea of using AI to maintain software after it has already been built. Instead of starting a new conversation every time something breaks, PlutoAI can work with the existing project, understand its structure, inspect errors and make changes without losing the context of the application. This is important because building the first version of software is only the beginning. Real products need constant debugging, updates, improvements and maintenance.

Most AI coding tools focus heavily on generating the first version of an application. PlutoAI focuses on the entire software lifecycle. You can go from idea to build to debugging to deployment to ongoing maintenance without treating each step as a separate workflow. The goal is to give users an AI software engineer that stays with the project instead of simply generating code and stopping.

Yes. PlutoAI is designed for people who may have an idea for software but do not want to spend their time learning how to code every part of it. You can describe what you want in normal language and PlutoAI handles much of the engineering work behind it. Technical users can also use PlutoAI to move faster and automate parts of their development workflow.

PlutoAI can build applications from natural language, but it is designed to go beyond traditional AI app builders. An AI app builder is usually focused on generating an initial application. PlutoAI is designed around agentic software engineering, which includes building, debugging, deploying and maintaining the application as it evolves.

PlutoAI is designed to build real software rather than only prototypes or visual demos. It can work across frontend code, backend services, databases, authentication and deployment workflows. Production readiness still depends on the project and the requirements, but the platform is designed around real applications rather than throwaway prototypes.

Yes. PlutoAI can work across the frontend, backend, database, authentication and supporting infrastructure required by a full stack application. You can describe the product you want and let the agent determine the engineering work needed to build it.

Yes. PlutoAI can be used to build SaaS products including dashboards, authentication systems, subscription based applications, admin panels, APIs and other full stack functionality.

Yes. You can use PlutoAI to create websites, landing pages, dashboards and more complex web applications. The same project can then continue evolving after the initial website is generated.

Yes. PlutoAI supports mobile application development through technologies such as React Native and Expo. You can build and preview mobile applications while continuing to make changes through natural language.

Yes. PlutoAI can work with backend technologies including Node.js, Python and other supported environments. It can create APIs, authentication, database logic, background processes and other backend functionality required by the application.

Yes. PlutoAI can work with Supabase for databases, authentication, storage and backend functionality. You can connect your Supabase project and allow the agent to work with the actual project instead of guessing how the database is structured.

MCP stands for Model Context Protocol. It allows AI agents to connect with external tools and services so they can work with real project information instead of relying only on the conversation. For example, an agent can interact with services such as Supabase, Netlify, Cloudflare and other supported tools.

MCP gives AI software engineers access to the tools they need to actually perform engineering work. Instead of only generating code, an agent can interact with connected services, inspect information, make changes and complete tasks across the software lifecycle.

Yes. Debugging is an important part of the platform. When something breaks, PlutoAI can inspect the project, look at errors and logs, identify possible causes and make changes to fix the issue.

Yes. PlutoAI is designed to work with existing projects as well as new applications. You can continue working on the same project instead of rebuilding the context every time you need a new feature or fix.

PlutoAI is designed to preserve the context of your project across development sessions. The agent can work with the existing codebase and its structure so future requests are based on the application that already exists rather than treating every request as a completely new project.

Yes. PlutoAI is designed to take software from development to deployment. You can connect supported deployment platforms and move your application from the development environment to a live URL without manually handling every deployment step.

Yes. Your project is yours. The generated application consists of normal source code that you can inspect, modify, export and continue developing outside PlutoAI.

Yes. PlutoAI is not intended to lock your application into a proprietary runtime. You should be able to take your source code and continue hosting or modifying it using the infrastructure and tools that work best for you.

Your project is isolated from other users. Your code and project information are not shared with other users, and PlutoAI does not use your project as a public codebase.

Cursor is an AI IDE designed for developers who work inside a code editor and want AI assistance while writing and modifying code. PlutoAI starts from a different place. You describe the software you want and an AI software engineer handles more of the engineering workflow for you. Cursor is built to make developers faster inside an IDE. PlutoAI is built to let users direct software engineering work without needing to personally write every part of the code.

Lovable is an AI powered development platform that makes it easy to create applications from natural language. PlutoAI is focused more heavily on agentic software engineering across the full lifecycle of an application. The difference becomes more important after the first version exists, when the product needs debugging, changes, deployment and ongoing maintenance.

Bolt is designed to make it fast to generate and run applications from prompts. PlutoAI is built around the idea that software development does not end when the first application is generated. The agent can continue working on the project as you add features, encounter bugs and change requirements.

Replit combines development, hosting and AI capabilities inside a cloud based development environment. PlutoAI takes a more agent driven approach. Instead of primarily giving you an environment where you write software with AI assistance, the goal is to let you describe the outcome and have an AI software engineer perform more of the engineering work.

Google Antigravity is a pair-programming coding assistant for local editor environments. PlutoAI is an end-to-end cloud platform combining autonomous agent execution (Aris Mini), persistent cloud sandboxes, mobile preview bridges, and automated multi-cloud deployment pipelines without requiring local machine setup.

GitHub Copilot provides in-editor autocompletion and snippet suggestions for developers typing code. PlutoAI is an agentic software engineering platform that builds full-stack applications from scratch, manages database schemas, executes terminal workflows, and maintains codebases autonomously across sessions.

PlutoAI is designed for both technical and non technical users. For non technical users, it can make software development more accessible by allowing them to describe what they want in natural language. For developers and technical teams, it can automate repetitive engineering work and help with building, debugging and maintaining applications.

Yes. PlutoAI is not only for beginners. Developers can use it to build features, debug applications, work with connected services and automate parts of the software engineering process.

You can build websites, SaaS products, dashboards, internal tools, APIs, web applications, mobile applications and other software projects. The best use cases are projects where you want an AI software engineer to handle meaningful parts of the development process rather than simply generate isolated code snippets.

No. PlutoAI is being designed to be infrastructure agnostic rather than forcing every project into one predefined stack. The technologies used depend on what the project needs and what environments are supported.

PlutoAI offers a free way to get started, with paid plans available for users who need more usage and additional capabilities. The exact plans and limits may change as the platform develops.

Agentic software engineering means using AI agents to perform engineering tasks rather than only generating individual pieces of code. An agent can plan work, modify files, run tools, inspect errors, test changes and continue working toward a larger goal. PlutoAI applies this approach to the software development lifecycle.

An AI software engineer is an AI agent designed to perform software engineering tasks such as writing code, modifying existing projects, debugging errors, working with tools and deploying applications. PlutoAI uses AI software engineers to help users build and maintain software without having to manually handle every engineering task.

PlutoAI is designed to help identify and fix bugs automatically. The agent can inspect errors, understand the surrounding code and make changes based on the issue it finds.

Yes. You can describe a feature you want and the agent can work within the existing application to implement it. This is one of the key differences between building a one time prototype and having an AI engineer that continues working on the product.

Yes. PlutoAI is intended to support both new projects and existing codebases. You can bring an existing project into the workflow and continue building, debugging and improving it.

AI code generation produces code based on a prompt. AI software engineering involves understanding a larger objective and carrying out multiple engineering tasks needed to achieve it. That can include planning, coding, testing, debugging, using external tools, deploying changes and maintaining the resulting software. PlutoAI is focused on the second approach.

Generating an application is only one part of building software. Real applications develop bugs, require new features, need dependency updates and change as users interact with them. Without proper maintenance, an application that looked impressive on day one can become difficult to manage later. PlutoAI is designed around this longer lifecycle.

PlutoAI is not intended to simply replace every software engineer. The goal is to give individuals and teams access to more engineering capacity by allowing AI agents to handle more of the work while humans remain responsible for important product and business decisions.

You can explore PlutoAI at https://plutoai.one and try the platform as new capabilities become available.