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Course Outline
Introduction to AI-Enhanced Development
- Defining AI-assisted coding
- Key features of the Cursor platform
- The role of LLM integration in modern software development
Configuring Cursor
- Installation and initial setup of Cursor
- Linking with GitHub and GitLab
- Navigating the workspace and interface layout
Generating Code with Cursor
- Creating new code snippets via prompts
- Leveraging context-aware suggestions and completions
- Strategies for crafting effective prompts
Debugging and Troubleshooting
- Utilizing AI support for debugging processes
- Detecting and fixing common coding issues
- AI-guided unit testing and error identification
Refactoring and Documenting Code
- Techniques for AI-driven refactoring
- Automating the creation of documentation
- Ensuring consistency in large-scale projects
Integrating Cursor with Dev Tools
- Collaboration with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration leveraging AI-generated suggestions
Advanced AI Coding Practices
- Utilizing multiple AI models for complex tasks
- Customizing prompts and managing context windows
- Addressing ethical and security aspects in AI-assisted development
Recap and Future Directions
Requirements
- A solid grasp of standard software development workflows
- Practical experience programming in Python, JavaScript, or TypeScript
- Proficiency with Git and basic code editing tools
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
21 Hours
