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Duration 21 hours
Course Outline
Introduction to AI-Enhanced Development
- The concept of AI-assisted coding
- Overview of Cursor’s primary features
- Comprehending LLM integration in software development
Setting Up Cursor
- Installation and configuration of Cursor
- Connecting to GitHub and GitLab
- Exploring the workspace and interface layout
Generating Code with Cursor
- Prompting Cursor to create new code snippets
- Leveraging context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Resolving Errors
- Utilizing AI assistance for debugging processes
- Identifying and fixing common issues
- AI-guided unit testing and error analysis
Refactoring and Documenting Code
- AI-driven refactoring techniques
- Generating automatic documentation
- Maintaining consistency across large-scale projects
Integrating Cursor with Development Tools
- Working with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Collaborating with teams using AI-generated suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding tasks
- 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 standard code editors.
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
