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Course Outline
Introduction to AI-Assisted Development
- The concept of AI-assisted coding
- Key features of Cursor
- LLM integration in the software development process
Configuring Cursor
- Installation and configuration of Cursor
- Linking with GitHub and GitLab
- Navigating the workspace and layout
Generating Code with Cursor
- Prompting Cursor to create new code snippets
- Context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Fixing Errors
- Leveraging AI assistance for debugging
- Identifying and addressing common issues
- AI-guided unit testing and error analysis
Refactoring and Documenting Code
- AI-driven refactoring methods
- Generating automatic documentation
- Maintaining consistency in large-scale projects
Integrating Cursor with Development Tools
- Interacting 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 coding tasks
- Tailoring prompts and context windows
- Ethical and security aspects in AI-assisted development
Summary and Next Steps
Requirements
- Comprehension of software development workflows
- Programming experience in Python, JavaScript, or TypeScript
- Knowledge of Git and basic code editors
Target Audience
- Software developers
- DevOps engineers
- AI and automation enthusiasts
21 Hours
