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Course Outline
Introduction to AI-Enhanced Development
- Defining AI-assisted coding
- Overview of Cursor’s core features
- Understanding LLM integration in software development
Configuring Cursor
- Installation and initial setup of Cursor
- Connecting to GitHub and GitLab
- Exploring the workspace and layout
Generating Code with Cursor
- Prompting Cursor to create new code snippets
- Utilizing context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Troubleshooting
- Applying AI assistance for debugging tasks
- Identifying and resolving common coding issues
- AI-guided unit testing and error analysis
Refactoring Code and Generating Documentation
- Techniques for AI-driven refactoring
- Automatic generation of documentation
- Maintaining consistency across large-scale projects
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration using AI-generated suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding challenges
- Customizing prompts and managing context windows
- Ethical and security considerations in AI-assisted development
Summary and Next Steps
Requirements
- A solid understanding of software development workflows
- Practical experience programming in Python, JavaScript, or TypeScript
- Familiarity with Git and basic code editing tools
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
21 Hours