Automated Bug Detection & Security Scanning Workflow is a powerful application that helps you find bugs and security issues in your code. It supports multiple programming languages and integrates seamlessly with GitHub to make your development process easier.
- Multi-Language Support: Works with TypeScript, JavaScript, Go, Python, Rust, PHP, and Swift.
- Integrated Security Scanning: Detects common problems like CVEs, hardcoded secrets, SQL injection, and XSS.
- GitHub Integration: Automatically creates issues with full context to keep your workflow smooth.
- Automated Fixing: Simplifies your tasks by fixing simple issues, such as imports and unused code.
- Pull Request Automation: Creates pull requests for safe changes that can auto-merge.
- Zero Manual Setup: No need for complicated setups; the app handles everything for you.
-
Download the Application:
- Visit the Releases page to find the latest version.
- Look for the file relevant to your operating system. Click on the link to start the download.
-
Install the Application:
- Once the file downloads, locate it in your downloads folder.
- Double-click the file to start the installation process and follow the on-screen instructions.
-
Run the Application:
- After the installation is complete, find the app in your Start menu or Applications folder.
- Double-click the app icon to open it.
To download and install the latest version of the automated-bug-workflow application, follow these steps:
- Step 1: Go to the Releases page.
- Step 2: Click on the version number of the release you wish to install.
- Step 3: Choose the file that matches your operating system and click to download it.
If you encounter any issues during downloading or installing, feel free to check the GitHub Issues page for solutions or ask for help.
Before installing, ensure your system meets the following requirements:
- Operating System: Windows 10 or higher, macOS Sierra or higher, or a modern Linux distribution.
- Storage Space: At least 200 MB free disk space for installation.
- RAM: Minimum of 2 GB RAM, though 4 GB is recommended for optimal performance.
- Documentation: Refer to the documentation for detailed instructions and tips.
- Issues: Visit the Issues page to report bugs or request features.
- Community: Join discussions on GitHub Discussions to connect with other users.
We welcome contributions from the community. If you would like to help improve this project, follow these steps:
- Fork the repository.
- Make your changes.
- Submit a pull request with a detailed description of your contributions.
This project is licensed under the MIT License. You can read the full license here.
Your feedback is important to us. If you have any questions, suggestions, or improvements, please let us know. You can open an issue on the GitHub page or contact us via our email in the repository.