• Link to the project: Backend Repository
• The backend is developed using Java Spring Boot with Java version 17.

• Script Handling: Implemented using the Factory Pattern.
  • Reason: This approach was chosen to enhance readability and maintainability of the code.
  • Advantages: It increases the flexibility of the code, making it easier to add new script commands and modify existing ones without affecting the entire service layer.

• Link to the project: Frontend Repository
• The frontend is developed using Angular 15.

• Structure: The frontend is kept simple with a single component.
  • API Interaction: The frontend makes a single POST call as specified in the documentation. No GET calls are implemented.
  • Data Handling: The robot's position is received as a response to the POST call.

• The project was completed in approximately 5 hours.
• A significant portion of the time was devoted to the frontend development due to my relatively lower experience in this area compared to backend development.

• User Interface: Given more time, I would enhance the UI by replacing the current circle with an arrow for the robot's position with a more detailed robot icon, including a silhouette indicating the direction.
• Backend Enhancements: Specifically for the Direction Action, I would consider refactoring the code to make it more abstract. Instead of relying on a switch statement with multiple cases, a more abstract approach could be employed to handle direction changes dynamically. However, given the current simplicity of the implementation, the existing approach was deemed sufficient for now.
• State Managment: I did consider implementing state managment using NgRx but seeing how small the front-end requirements are, I found it a bit overkill, atleast with the current requirements.

• Regex: Utilized AI tools to assist in crafting and validating regular expressions.
• Error Debugging: Summarized error logs for quicker debugging and issue resolution.

• HTML and CSS: Leveraged AI tools for assistance with HTML and CSS, especially for layout and design adjustments using flexbox, grid, padding, etc.
• Debugging: Used AI tools to troubleshoot and resolve errors encountered during development.
• Design Improvements: Sought AI suggestions for design enhancements and finding compatible libraries such as toastr for notifications.
• Syntax Assistance: Consulted AI tools for syntax clarification and best practices due to less experience in frontend development.

I mentioned in my introductory interview that I am more of a backend-heavy developer with less experience in frontend development. Therefore, I have used AI tools to assist with frontend tasks to ensure high-quality and efficient development.