- Created `.env.production` file to define relative paths for production deployment.
- Updated frontend API and WebSocket client to use environment variables for dynamic URL handling.
- Enhanced deployment scripts (`deploy-ubuntu.sh`, `start.sh`, `start.bat`) to generate `.env.production` automatically.
- Added `PRODUCTION_URLS.md` for documentation on production URL configuration and troubleshooting.
- Introduced `deploy-ubuntu.sh` for automated deployment of the AI Code Review Platform on Ubuntu with systemd.
- Added `UBUNTU_DEPLOYMENT.md` for detailed deployment instructions and requirements.
- Updated `README.md` to include quick deployment instructions and features of the new script.
- Created `uninstall-ubuntu.sh` for easy removal of the platform and its components.
- Enhanced logging and configuration setup within the deployment script.
- Introduced `DEPLOYMENT.md` for comprehensive deployment instructions.
- Added `start.bat` and `start.sh` scripts for unified project startup on Windows and Linux/Mac.
- Updated `.gitignore` to exclude additional files and directories.
- Enhanced `main.py` to serve static frontend files and handle SPA routing.
- Configured Vite to output the frontend build to the backend public directory.
- Minor adjustments in `ReviewDetail.tsx` for improved data handling.
