Blueberry

Blueberry is the paradigm-shifting, AI-native product development platform engineered for the modern builder. It transcends the traditional, fragmented development environment by unifying your essential tools—a professional-grade code editor, a fully-featured terminal, and a live preview browser—into a single, hyper-focused workspace. Designed specifically for macOS, Blueberry eliminates the cognitive overhead and constant context-switching of juggling multiple application windows. Its revolutionary core is the integrated Model Context Protocol (MCP) server, which grants AI models like Claude, Gemini, or Codex a real-time, panoramic view of your entire project context: the code you're writing, the terminal output, and the live browser preview. This means you stop wasting cycles on manual copy-pasting of context and start collaborating with an AI that truly understands your workspace. Built for developers, designers, and product pioneers who ship web applications, Blueberry is more than an IDE; it's the first cohesive environment where human intuition and artificial intelligence converge to accelerate creation, from initial concept to a delightful, shippable product.

Unified AI-Native Workspace

Blueberry deconstructs the traditional, siloed development workflow by fusing a powerful code editor, system terminal, and device-aware preview browser into one seamless interface. This triad operates not as separate apps but as interconnected panels within a single window, sharing state and context fluidly. The environment is built from the ground up to feed real-time data to integrated AI, creating a symbiotic workflow where your tools and your intelligence are perfectly aligned, eliminating friction and tab overload.

Full-Context AI via MCP Integration

The platform's groundbreaking integration with the Model Context Protocol (MCP) provides your chosen AI assistant with a live, comprehensive feed of your development state. Unlike basic chat plugins, Blueberry's built-in MCP server allows models to see your open files, real-time code changes, terminal commands and outputs, and even the visual state of your preview browser simultaneously. This constant, rich context enables the AI to offer precise, actionable guidance, debug with awareness, and generate code that fits perfectly into your running application.

Visual Context & Pinned Apps

Blueberry extends context beyond code to include your entire digital product ecosystem. The screenshot and direct element selection tool allows you to give your AI visual references from the preview browser. Furthermore, you can dock essential web apps like GitHub, Linear, Figma, and PostHog directly within the workspace. These "Pinned Apps" load with your project and share their live context with the AI, creating a holistic command center for product development.

Professional Editor with Git Integration

Despite its AI-centric design, Blueberry does not compromise on core developer tooling. It includes a fully-featured, professional code editor equipped with advanced syntax highlighting, multi-cursor support, robust find-and-replace, and built-in Git integration. This ensures you have all the power and precision of a modern editor, which simultaneously serves as the primary data source for your AI's deep understanding of the project structure and history.

Rapid Full-Stack Web Development

Developers building modern web applications can leverage Blueberry to streamline the entire stack workflow. Write backend API logic in the editor, run and debug servers in the integrated terminal, and see frontend changes render instantly in the live preview browser—all while asking your AI to explain a complex route, generate a component based on the current UI, or diagnose a server error using the combined terminal and code context.

AI-Powered Debugging and Refactoring

When encountering bugs or planning a code refactor, use Blueberry's unified context to supercharge the process. Your AI can analyze the error output in the terminal, cross-reference it with the relevant code files open in the editor, and even inspect the broken UI state in the browser preview. This holistic view allows for accurate root-cause analysis and safe, context-aware suggestions for fixes and improvements.

Collaborative Design-to-Code Implementation

Designers and frontend developers working in tandem can use Blueberry to bridge the gap between design and implementation. Pin the Figma mockup in the workspace, use the browser's element selector to reference components, and instruct the AI to generate or adjust React/Vue code to match the design precisely, with immediate visual feedback in the multi-device preview pane.

Interactive Learning and Code Exploration

Students and developers exploring a new codebase or technology can use Blueberry as an interactive learning platform. Open a project, run it, and freely ask the AI questions about how specific files (like route.ts) work, request explanations of terminal commands, or get walkthroughs of the component hierarchy, with the AI guiding you through the actual, running code in real-time.

What is MCP and why is it important?

MCP (Model Context Protocol) is an open protocol that allows AI models to securely connect to and retrieve context from external tools and data sources. In Blueberry, the built-in MCP server is revolutionary because it gives your AI a live, read-only stream of your entire workspace—your code, terminal, and browser. This moves AI interaction beyond simple chat into true situational awareness, enabling vastly more accurate and helpful assistance without manual copy-pasting.

Can I use any AI model with Blueberry?

Yes, Blueberry is designed to be model-agnostic through its MCP support. While it showcases seamless integration with models like Claude, Gemini, and Codex, you can connect any AI assistant that supports the MCP protocol. This future-proofs your workspace, allowing you to choose and switch between the most advanced AI models as they evolve.

Is Blueberry only for web development?

While Blueberry is exceptionally optimized for building web applications—with its integrated preview browser and frontend/backend tooling—its core unification of editor, terminal, and AI context is beneficial for many types of software development and scripting tasks on macOS. Any project that involves writing code, running commands, and benefiting from AI insight can be accelerated within the Blueberry workspace.

How does the preview browser work?

Blueberry's preview browser is not a simple web view; it's a fully functional, device-aware browser built into the workspace. It can render your local development server (e.g., localhost:3000) and allows you to instantly switch between desktop, tablet, and mobile screen emulations. This provides an accurate, real-time representation of what end-users will see without requiring external browser windows or device testing tools.