Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of AI-Assisted Development
- The concept of AI-assisted coding
- Key features of the Cursor platform
- The role of LLM integration in the software development lifecycle
Initializing Cursor
- Installation and configuration processes
- Establishing connections with GitHub and GitLab
- Navigating the workspace and interface layout
Generating Code with Cursor
- Prompting Cursor to create new code snippets
- Leveraging context-aware suggestions and auto-completions
- Strategies for crafting effective prompts
Debugging and Troubleshooting
- Applying AI assistance to the debugging process
- Diagnosing and resolving common coding issues
- AI-guided unit testing and error analysis
Refactoring and Documentation
- Techniques for AI-driven code refactoring
- Automated generation of technical documentation
- Ensuring code consistency across extensive projects
Integration with Development Ecosystems
- Collaboration with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration utilizing AI-driven suggestions
Advanced AI Coding Methodologies
- Orchestrating multiple AI models for complex tasks
- Customizing prompt structures and context windows
- Addressing ethical and security considerations in AI-assisted development
Course Conclusion and Future Directions
Requirements
- A solid grasp of software development workflows
- Practical experience programming in Python, JavaScript, or TypeScript
- Proficiency with Git and standard code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
21 Hours
