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Duration 21 hours (3 days)
Course Outline
Foundations of AI-Assisted Development
- The concept of AI-assisted coding
- Key features of the Cursor interface
- The role of LLM integration in modern software development
Cursor Configuration
- Installation and initial setup
- Linking with GitHub and GitLab accounts
- Navigating the workspace and layout options
Generating Code with Cursor
- Creating new code snippets through prompts
- Receiving context-aware suggestions and auto-completions
- Techniques for crafting effective prompts
Debugging and Error Management
- Applying AI support to debug complex issues
- Identifying and fixing common coding errors
- Conducting AI-guided unit tests and error analysis
Refactoring and Documenting Code
- Techniques for AI-driven code refactoring
- Generating automatic documentation
- Ensuring consistency across large-scale projects
Cursor Integration with Dev Tools
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration using AI-generated suggestions
Advanced AI Coding Patterns
- Combining AI models for intricate coding challenges
- Tuning prompts and managing context windows
- Navigating ethical and security aspects of AI development
Recap and Future Directions
Requirements
- A solid grasp of standard software development workflows
- Practical experience coding in Python, JavaScript, or TypeScript
- Proficiency with Git and basic code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation