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+# Qwen Code Agent Configuration
+
+This file configures the behavior and preferences for the Qwen Code agent for this specific project.
+
+## Project Context
+- **Name**: CrossFit Scheduler
+- **Primary Language**: Python
+- **Key Technologies**: Python scripts, JSON, Docker
+- **Purpose**: Automates booking CrossFit classes based on user preferences.
+
+## Agent Interaction Preferences
+
+### Code Style & Conventions
+- Follow PEP 8 for Python code.
+- Use clear, descriptive variable and function names.
+- Prefer explicit over implicit code.
+- Use docstrings for modules, classes, and functions.
+- Keep functions small and focused on a single task.
+
+### Project Structure Awareness
+- `main.py`: Entry point for the application.
+- `execute_book_session.py`: Core logic for booking sessions.
+- `preferred_sessions.json`: User preferences for session booking.
+- `src/`: Directory for source code modules.
+- `test_book_session.sh`: Shell script for testing session booking.
+
+### Preferred Tools & Commands
+- Use `pytest` for running tests.
+- Use `docker compose` for container orchestration.
+- Use `python` for running scripts.
+- Refer to `requirements.txt` for dependencies.
+
+### Communication Style
+- Be concise and direct.
+- Use markdown for formatting responses.
+- Prioritize clarity and correctness.
+- Avoid unnecessary explanations or chit-chat.
+
+### Testing & Verification
+- Always run tests after making changes.
+- Use `pytest.ini` for test configuration.
+- Ensure Docker containers are properly configured before running.
+- Verify JSON files are correctly formatted.
+
+### Security & Best Practices
+- Never commit sensitive information like passwords or API keys.
+- Use `.env` files for environment variables.
+- Follow Docker best practices for containerization.
+- Keep dependencies up to date.
+
+## Custom Instructions
+- When modifying `preferred_sessions.json`, ensure the structure remains valid.
+- When writing shell scripts, ensure they are executable and follow best practices.
+- When creating new Python files, ensure they are properly formatted and tested.