Supercharge your development with an editor designed for less coding, using AI. PearAI is forked from VSCode and Continue, and aims to reduce the time from ideation to conception for your product development by achieving the most seamless integration with AI.
This repository serves as the primary application for PearAI, with most functionalities housed within the extension/pearai folder. We recommend focusing your work within this submodule by cloning it from https://github.com/trypear/pearai-app/.
To download the full product visit our homepage at https://trypear.ai.
PearAI currently only supports OpenAI at this time. To obtain an OpenAI API key go to platform.openai.com/account/api-keys.
- Knows your code - Pear has context on your database so you can ask questions about your code.
- Auto-implement features - Ask for a feature and receive a PR implementing it.
- UI/UX focused - Pear puts the user experience first, making developing as seamless as possible.
- Never start from scratch - Pear comes with high-quality templates and boilerplate code for any type of project.
- Batteries included - Pear comes fully setup with shortcuts and terminal plugins used to supercharge development productivity.
- Familiar feel - Pear is a fork of VSCode, so you can pick up exactly where you left off.
Our Master Document Roadmap contains the Pear AI roadmap, focusing on the teams development journey, and the community that surrounds Pear AI.
Read our to learn about our development process, how to propose bugfixes and improvements, and how to build and test your changes.
We welcome contributions from the community! Whether you're fixing a bug, improving the documentation, or adding a new feature, we appreciate your help in making PearAI better. To help you get your feet wet and become familiar with our contribution process, we have a list of good first issues that contains things with a relatively limited scope. This is a great place to get started!
Please review our Contributing Guide to get started. For any questions, join the PearAI Discord!
Curious about our stack?
- PearAI is in TypeScript/Electron.js
- PearAI landing page is Next.js/React with Supabase auth (TailwindCSS + Shadcn)
- PearAI backend is a Python Flask server with Supabase database
- Logging/Telemetry is done with Axiom
Pear OSS is licensed under the Apache 2.0 license. See the LICENSE file for details.
For any questions or issues, please open an issue or reach out in the PearAI Discord.
Thanks to these wonderful people who have contributed to this project:
Feel free to join them and contribute!