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Course Outline
Introduction to AI-Assisted Development
- The concept of AI-assisted coding
- Overview of Cursor’s core features
- The role of LLM integration in software development
Setting Up Cursor
- Installation and configuration of Cursor
- Connecting to GitHub and GitLab
- Navigating the workspace and layout
Using Cursor for Code Generation
- Prompting Cursor to create new code snippets
- Leveraging context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Error Resolution
- Applying AI assistance to debugging processes
- Identifying and resolving common issues
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- AI-driven refactoring techniques
- Automated documentation generation
- Maintaining consistency across large-scale projects
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal tools
- Incorporating Cursor into CI/CD pipelines
- Facilitating team collaboration through AI 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
21 Hours
