CodeSeer is an advanced code analysis and search platform designed to help developers explore, understand, and document complex codebases with ease. It combines powerful search, code intelligence, and visualization features, making it ideal for both individual developers and teams working with large or unfamiliar projects.
CodeSeer offers a streamlined environment for deep code exploration, search, and documentation. Whether you are onboarding to a new project, auditing legacy code, or seeking specific logic in a vast codebase, CodeSeer accelerates understanding and insight. Its modular architecture ensures extensibility and adaptability to various workflows and programming languages.
- Intelligent Code Search: Quickly find classes, functions, files, and references across the entire codebase.
- Contextual Navigation: Jump directly to definitions, usages, or related symbols for efficient code exploration.
- Rich Documentation Tools: Generate and maintain comprehensive documentation with integrated markdown and visualization support.
- Code Visualization: Visualize code structure, dependencies, and data flows using interactive diagrams.
- API Endpoint Discovery: Automatically detect and document HTTP API endpoints, including request/response formats.
- Extensible Plugin System: Integrate custom search strategies, language support, and analysis tools.
- User-friendly UI: Responsive, intuitive interface designed for speed and clarity.
To run CodeSeer, ensure your environment meets the following prerequisites:
- Node.js version 16 or later
- npm (Node Package Manager)
- Git for repository cloning and version control
- Supported OS: macOS, Linux, or Windows
- Supported Browsers: Latest versions of Chrome, Firefox, or Edge (for the web interface)
- Optional: Docker (for containerized deployment)
Before using CodeSeer, configure your environment and settings:
-
Clone the Repository:
git clone https://github.com/RajX-dev/codeseer.git cd codeseer -
Install Dependencies:
npm install
-
Environment Variables: Create a
.envfile in the root directory and specify the following variables as needed:PORT=3000 CODEBASE_DIR=/path/to/your/codebase DATABASE_URL=mongodb://localhost:27017/codeseer -
Configuration File: Adjust
config.jsonor other configuration files as required for your environment, plugins, or integration needs. -
Optional: Set up Docker for a containerized deployment:
docker-compose up -d
Follow these steps to use CodeSeer for code analysis and documentation:
Run the development server:
npm startThe server will launch on the port specified in your .env file (default is 3000).
Open your browser and navigate to:
http://localhost:3000
- Use the search bar to find symbols, files, or keywords.
- Click on search results to view code with syntax highlighting and in-line references.
- Navigate using the sidebar to browse file structure and project components.
- Use the visualization panel to generate and interact with diagrams, such as class hierarchies, dependency graphs, or data flows.
- Export diagrams in supported formats for inclusion in documentation.
- CodeSeer automatically detects API endpoints defined in your codebase.
- View auto-generated documentation for each endpoint, including methods, parameters, and example requests/responses.
- Use the integrated markdown editor to create or update project documentation.
- Link documentation entries to specific files, functions, or modules for context-rich references.
- Add or configure plugins via the settings or
pluginsdirectory. - Develop custom plugins for extended language support, custom analysis, or integration with external tools.
Below is a high-level diagram of the core architecture and workflow within CodeSeer:
flowchart TD
A[User Interface] --> B[Search Engine]
A --> C[Visualization Engine]
B --> D[Code Parser]
B --> E[Plugin System]
D --> F[Codebase Directory]
E --> G[Custom Plugins]
C --> H[Diagram Generator]
B --> I[API Endpoint Detector]
I --> J[API Documentation]
A --> K[Markdown Editor]
For issues, questions, or feature requests, please open an issue on the GitHub repository.
This project is licensed under the MIT License. See the LICENSE file for details.