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Duration 21 hours (3 days)
Course Outline
Introduction to AI-Assisted Development
- The fundamentals of AI-assisted coding
- An overview of Cursor’s core features
- The role of LLM integration in modern software development
Setting Up Cursor
- Installation and initial configuration
- Connecting to GitHub and GitLab platforms
- Navigating the workspace and layout
Leveraging Cursor for Code Generation
- Prompting Cursor to create new code snippets
- Utilizing context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Error Resolution
- Applying AI assistance to the debugging process
- Identifying and resolving common coding issues
- Conducting AI-guided unit testing and error analysis
Code Refactoring and Documentation
- Employing AI-driven refactoring techniques
- Generating automatic documentation
- Maintaining consistency in large-scale projects
Integrating Cursor with Development Tools
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Facilitating team collaboration through AI suggestions
Advanced AI Coding Workflows
- Combining multiple AI models for complex tasks
- Customizing prompts and managing context windows
- Navigating ethical and security considerations in AI-assisted development
Summary and Next Steps
Requirements
- A solid understanding of standard software development workflows
- Proficiency in programming with Python, JavaScript, or TypeScript
- Basic familiarity with Git and code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
