Zaelot Developer Studio is our internal development environment built on Visual Studio Code and enhanced with Claude AI integration. This powerful combination provides our development team with intelligent coding assistance, automated code reviews, and AI-powered debugging capabilities.
- Intelligent Code Assistance: Get context-aware suggestions and explanations from Claude
- Code Review Assistant: Automated code analysis and improvement suggestions
- Natural Language Queries: Ask questions about your codebase in plain English
- Multi-file Code Changes: Claude can suggest changes across multiple files
- All VSCode Features: Complete compatibility with the VSCode ecosystem
- Custom Zaelot Branding: Tailored interface for our internal workflows
- Secure & Private: Your code never leaves our environment
- Easy Setup: One-click configuration with your Claude API key
- Language Support: Works with all programming languages we use
- Extension Compatibility: Full support for VSCode extensions
- Integrated Terminal: Enhanced with AI assistance
- Version Control: Git integration with intelligent commit message generation
# One-command installation
curl -fsSL https://raw.githubusercontent.com/Zaelot-Inc/zaelot-developer-studio/main/scripts/install-zaelot.sh | bash
# Start the application
zaelot# Clone the repository
git clone https://github.com/Zaelot-Inc/zaelot-developer-studio.git
cd zaelot-developer-studio
# Install dependencies & build
npm install && npm run compile
# Start Zaelot Developer Studio
./scripts/code.sh- Configure Claude: Set your API key via Command Palette → "Configure Claude API Key"
- Open Chat: Use
Ctrl+Shift+Ior click the chat icon to start conversations - Code with AI: Select code and ask Claude for explanations or improvements
- Get Help: Use the built-in getting started guide
This tool is exclusively for Zaelot team members. All AI interactions are processed through our secure Claude API integration.
There are many ways in which you can participate in this project, for example:
- Submit bugs and feature requests, and help us verify as they are checked in
- Review source code changes
- Review the documentation and make pull requests for anything from typos to additional and new content
If you are interested in fixing issues and contributing directly to the code base, please see the document How to Contribute, which covers the following:
- How to build and run from source
- The development workflow, including debugging and running tests
- Coding guidelines
- Submitting pull requests
- Finding an issue to work on
- Contributing to translations
- Ask a question on Stack Overflow
- Request a new feature
- Upvote popular feature requests
- File an issue
- Connect with the extension author community on GitHub Discussions or Slack
- Follow @code and let us know what you think!
See our wiki for a description of each of these channels and information on some other available community-driven channels.
Many of the core components and extensions to VS Code live in their own repositories on GitHub. For example, the node debug adapter and the mono debug adapter repositories are separate from each other. For a complete list, please visit the Related Projects page on our wiki.
VS Code includes a set of built-in extensions located in the extensions folder, including grammars and snippets for many languages. Extensions that provide rich language support (code completion, Go to Definition) for a language have the suffix language-features. For example, the json extension provides coloring for JSON and the json-language-features extension provides rich language support for JSON.
This repository includes a Visual Studio Code Dev Containers / GitHub Codespaces development container.
-
For Dev Containers, use the Dev Containers: Clone Repository in Container Volume... command which creates a Docker volume for better disk I/O on macOS and Windows.
- If you already have VS Code and Docker installed, you can also click here to get started. This will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
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For Codespaces, install the GitHub Codespaces extension in VS Code, and use the Codespaces: Create New Codespace command.
Docker / the Codespace should have at least 4 Cores and 6 GB of RAM (8 GB recommended) to run full build. See the development container README for more information.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the MIT license.