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Duration 21 hours
Course Outline
Introduction to AI-Assisted Development
- Defining AI-assisted coding
- Key features of Cursor
- Role of LLM integration in software development
Getting Started with Cursor
- Installation and configuration steps
- Linking with GitHub and GitLab
- Navigating the workspace and interface
Generating Code with Cursor
- Prompting Cursor for new code snippets
- Context-aware suggestions and auto-completions
- Strategies for effective prompt engineering
Debugging and Resolving Errors
- Applying AI assistance to debug code
- Diagnosing and fixing common issues
- AI-guided unit testing and error analysis
Refactoring and Documentation
- Techniques for AI-driven refactoring
- Automating documentation generation
- Ensuring consistency in large-scale projects
Integrating Cursor into Development Tools
- Collaboration with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration using AI suggestions
Advanced AI Coding Workflows
- Combining AI models for complex tasks
- Tuning prompts and context windows
- Security and ethical considerations in AI development
Conclusion and Next Steps
Requirements
- A solid grasp of software development workflows
- Programming experience in Python, JavaScript, or TypeScript
- Proficiency with Git and standard code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
