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Course Outline
Introduction to AI-Assisted Development
- Concepts of AI-assisted coding
- Key features of Cursor
- Role of LLM integration in software development
Setting Up Cursor
- Installation and configuration of Cursor
- Connection with GitHub and GitLab
- Exploring the workspace and interface layout
Using Cursor for Code Generation
- Generating new code snippets via prompting
- Context-aware suggestions and auto-completions
- Best practices for crafting effective prompts
Debugging and Error Resolution
- Utilizing AI for debugging processes
- Identifying and fixing common issues
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- Techniques for AI-driven refactoring
- Generating automatic documentation
- Ensuring consistency in large-scale projects
Integrating Cursor with Development Tools
- Interoperability with VS Code and terminal tools
- Incorporating Cursor into CI/CD pipelines
- Team collaboration using AI suggestions
Advanced AI Coding Workflows
- Combining AI models for complex tasks
- Customizing prompts and context windows
- Ethical and security considerations in AI development
Summary and Next Steps
Requirements
- Knowledge of software development workflows
- Programming experience in Python, JavaScript, or TypeScript
- Familiarity with Git and basic code editors
Target Audience
- Software developers
- DevOps engineers
- AI and automation specialists
21 Hours
