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Course Outline
Introduction to AI-Assisted Development
- Defining AI-assisted coding
- Key features of Cursor
- Understanding LLM integration in software development
Getting Started with Cursor
- Installation and configuration of Cursor
- Linking to GitHub and GitLab
- Navigating the workspace and layout
Generating Code with Cursor
- Requesting new code snippets from Cursor
- Context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Fixing Errors
- Utilizing AI support for debugging
- Identifying and resolving common issues
- AI-guided unit testing and error analysis
Refactoring Code and Writing Documentation
- AI-driven refactoring methods
- Automated documentation generation
- Maintaining consistency in 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 suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding tasks
- Customizing prompts and context windows
- Ethical and security aspects of AI-assisted development
Recap and Future Steps
Requirements
- Knowledge of software development workflows
- Programming experience in Python, JavaScript, or TypeScript
- Basic familiarity with Git and code editors
Target Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
21 Hours
