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Duration 21 hours (3 days)
Course Outline
Introduction to AI-Assisted Development
- The concept of AI-assisted coding
- A look at the core features of Cursor
- How LLM integration works in software development
Setting Up Cursor
- Installation and configuration steps for Cursor
- Linking with GitHub and GitLab platforms
- Navigating the workspace and interface layout
Using Cursor for Code Generation
- Directing Cursor to create new code snippets
- Receiving context-aware suggestions and autocompletions
- Best practices for crafting effective prompts
Debugging and Error Resolution
- Leveraging AI support to troubleshoot issues
- Spotting and fixing common development problems
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- Techniques for AI-driven code refactoring
- Generating documentation automatically
- Ensuring consistency in large-scale projects
Integrating Cursor with Development Tools
- Using Cursor alongside VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Collaborating with teams through AI-generated suggestions
Advanced AI Coding Workflows
- Utilizing multiple AI models for complex tasks
- Tailoring prompts and managing context windows
- Considering ethics and security in AI-assisted development
Summary and Next Steps
Requirements
- A solid grasp of software development processes
- Practical experience programming in Python, JavaScript, or TypeScript
- Knowledge of Git and standard code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
