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Duration 21 hours (3 days)
Course Outline
Introduction to AI-Assisted Development
- Defining AI-assisted coding
- Key features and capabilities of Cursor
- The role of LLM integration in modern software development
Setting Up Cursor
- Installing and configuring the Cursor environment
- Linking with GitHub and GitLab platforms
- Navigating the workspace and interface layout
Leveraging Cursor for Code Generation
- Prompting Cursor to create new code snippets
- Utilizing context-aware suggestions and completions
- Strategies for crafting effective AI prompts
Debugging and Error Resolution
- Applying AI assistance to streamline debugging
- Identifying and resolving common coding issues
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- Techniques for AI-driven refactoring
- Generating documentation automatically
- Ensuring consistency across large-scale projects
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration using AI-generated suggestions
Advanced AI Coding Workflows
- Combining AI models for complex development tasks
- Customizing prompts and managing context windows
- Ethical and security best practices in AI-assisted development
Summary and Next Steps
Requirements
- A solid understanding of standard software development workflows
- Practical experience programming in Python, JavaScript, or TypeScript
- Familiarity with Git version control and basic code editing tools
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
