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Course Outline
Introduction to AI-Assisted Development
- The concept of AI-assisted coding
- Key features of the Cursor platform
- The role of LLM integration in software development
Installing and Configuring Cursor
- Setting up and configuring the Cursor environment
- Establishing connections with GitHub and GitLab
- Navigating the workspace and interface layout
Leveraging Cursor for Code Generation
- Prompting Cursor to create new code snippets
- Context-aware suggestions and auto-completions
- Strategies for crafting effective prompts
Debugging and Resolving Errors
- Utilizing AI support for debugging processes
- Diagnosing and fixing common issues
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- Techniques for AI-driven code refactoring
- Automating documentation generation
- Ensuring consistency across large-scale projects
Integrating Cursor into Development Toolchains
- 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 coding challenges
- Customizing prompts and managing context windows
- Ethical and security aspects of AI-assisted development
Conclusion and Future Steps
Requirements
- A solid grasp of software development workflows.
- Practical experience with Python, JavaScript, or TypeScript.
- Knowledge of Git and basic code editing tools.
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
21 Hours
