Blueberry

Blueberry is an AI-native product development platform for macOS, designed to fundamentally change how modern product builders work. It consolidates the essential tools of web development—a code editor, terminal, and live preview browser—into a single, focused workspace. This eliminates the constant, disruptive context-switching between disparate applications, allowing developers and builders to maintain deep focus and flow. Blueberry is built for the new era of AI-assisted development, where the assistant is not just an add-on but a core, integrated member of the team. Its key innovation is providing AI models like Claude, Gemini, or Codex with full, real-time context over your entire project through its built-in MCP (Model Context Protocol) server. This means your AI can see your open files, terminal output, browser state, and even pinned applications like Figma or Linear, enabling it to offer precise, context-aware assistance without the need for manual copy-pasting. The platform is crafted to help you ship web applications that delight, offering a seamless, unified environment from initial code to final preview across all device types. It is currently free during its beta period.

Unified AI-Native Workspace

Blueberry integrates a professional-grade code editor, a fully-featured terminal, and a live preview browser into one cohesive interface. This trinity of tools is designed to work in harmony, sharing state and context seamlessly. You can write code, run commands, and see the changes reflected instantly without ever leaving the application or managing multiple windows, creating a truly immersive development environment.

Full-Context AI via MCP

At the heart of Blueberry is its built-in MCP server, which grants connected AI models a live, comprehensive view of your workspace. The AI can see your current code files, real-time terminal output, the state of your preview browser, and data from pinned apps. This eliminates guesswork and manual context provisioning, allowing for accurate code explanations, debugging, and feature suggestions based on your exact project state.

Pinned Applications & Visual Context

Beyond core dev tools, Blueberry allows you to dock essential web apps like GitHub, Linear, Figma, or PostHog directly within your workspace. These pinned apps load with your project and share context with your AI. Furthermore, you can provide visual context by capturing screenshots or using an element selector directly from the preview browser, bridging the gap between code and visual design.

Multi-Device Live Preview

The integrated preview browser isn't just a simple window. It includes built-in views for desktop, tablet, and mobile screen sizes, allowing you to instantly see how your application will render for users on different devices. This ensures responsive design and user experience can be validated continuously during development without needing external tools or emulators.

Rapid Full-Stack Prototyping

Developers building new web applications can use Blueberry to swiftly iterate on both frontend and backend code. Write an API route in the editor, test it via curl in the terminal, and immediately see the frontend fetch and display the data in the live preview—all within a single, fluid workflow. The AI can assist across all these layers with full context.

AI-Powered Debugging & Refactoring

When encountering a bug or planning a refactor, you can leverage the AI's deep workspace awareness. Ask it questions like "why is this component not updating?" or "how can I simplify this state logic?" The AI can analyze the relevant code, review terminal errors, and even inspect the current browser DOM to provide precise, actionable answers.

Collaborative Design-Development Handoff

For teams using tools like Figma, designers can share links pinned within Blueberry. Developers can then reference the designs directly while coding components. Using the screenshot and element select features, they can ask the AI for help implementing specific UI elements, ensuring a faithful translation from design to code.

Context-Rich Onboarding & Exploration

New team members or developers exploring an unfamiliar codebase can use Blueberry to get up to speed quickly. They can ask the AI broad questions about the project structure or specific queries about how a particular feature works, and the AI can guide them through the relevant files, dependencies, and even running application state.

What is MCP and how does Blueberry use it?

MCP stands for Model Context Protocol, a standard for providing AI models with access to tools and data. Blueberry has a built-in MCP server that acts as a bridge, giving AI models like Claude a live, read-only view of your entire workspace—your open files, terminal sessions, browser preview, and pinned apps. This allows the AI to understand your project's full context without manual copying and pasting.

Is Blueberry a full-featured code editor?

Yes. Blueberry includes a professional, real code editor with essential features like full syntax highlighting, multi-cursor support, find and replace, and Git integration. It is designed to be powerful enough for serious development work while being seamlessly integrated with the terminal and browser, forming a complete development environment.

Which AI models does Blueberry support?

Blueberry can connect to any AI model that supports the MCP standard. This includes popular models like Anthropic's Claude, Google's Gemini, and OpenAI's Codex, among others. You configure the connection to your preferred model, and Blueberry provides it with the rich context from your workspace.

Is Blueberry really free?

Yes, Blueberry is completely free during its beta period. The team is focused on refining the product with feedback from early users. There is no indication of future pricing within the provided content, allowing builders to explore and integrate the platform into their workflow at no cost.