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Course Outline
Introduction to AI-Assisted Development
- Understanding the concept of AI-assisted coding
- Overview of Cursor’s key features
- Understanding LLM integration in software development
Setting Up Cursor
- Installing and configuring Cursor
- Connecting to GitHub and GitLab
- Exploring workspace and layout
Using Cursor for Code Generation
- Prompting Cursor for new code snippets
- Context-aware suggestions and completions
- Best practices for writing effective prompts
Debugging and Error Resolution
- Using AI assistance for debugging
- Identifying and resolving common issues
- AI-guided unit testing and error analysis
Code Refactoring and Documentation
- AI-driven refactoring techniques
- Automatic documentation generation
- Maintaining consistency across large projects
Integrating Cursor with Development Tools
- Working with VS Code and terminal tools
- Using Cursor in CI/CD pipelines
- Collaborating with teams using AI suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding tasks
- Customizing prompts and context windows
- Ethical and security considerations in AI-assisted development
Summary and Next Steps
Requirements
- Solid understanding of software development workflows
- Practical experience in programming with Python, JavaScript, or TypeScript
- Familiarity with Git version control and basic code editors
Target Audience
- Software developers
- DevOps engineers
- Enthusiasts of AI and automation technologies
21 Hours