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Duration 21 hours
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
Setting Up Cursor
- Installation and initial configuration
- Establishing connections with GitHub and GitLab
- Navigating the workspace and layout options
Generating Code with Cursor
- Creating new code snippets via prompts
- Accessing context-aware suggestions and completions
- Best practices for crafting effective prompts
Debugging and Error Resolution
- Applying AI assistance to the debugging process
- Detecting and resolving common issues
- AI-guided unit testing and error analysis
Refactoring and Documentation
- Techniques for AI-driven refactoring
- Automating documentation generation
- Maintaining consistency in large-scale projects
Integrating Cursor with Development Tools
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Team collaboration utilizing AI-generated suggestions
Advanced AI Coding Workflows
- Combining AI models for complex tasks
- Customizing prompts and managing context windows
- Ethical and security implications in AI-assisted development
Summary and Next Steps
Requirements
- A solid grasp of software development workflows
- Programming experience in Python, JavaScript, or TypeScript
- Familiarity with Git and standard code editors
Audience
- Software developers
- DevOps engineers
- Professionals interested in AI and automation
