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Duration 21 hours
Course Outline
Foundations of AI-Assisted Development
- Defining the scope and impact of AI-assisted coding
- An overview of Cursor’s core features
- Understanding the role of LLM integration in the development lifecycle
Setting Up the Cursor Environment
- Installation and initial configuration steps
- Establishing connections with GitHub and GitLab
- Navigating the workspace and layout options
Leveraging Cursor for Code Generation
- Crafting prompts to generate new code snippets
- Understanding context-aware suggestions and completions
- Best practices for creating effective and precise prompts
Debugging and Resolving Errors
- Applying AI assistance to streamline debugging processes
- Identifying and addressing common development issues
- Utilizing AI for unit testing and in-depth error analysis
Refactoring and Automated Documentation
- Employing AI-driven techniques for code refactoring
- Generating documentation automatically
- Ensuring code consistency across large-scale projects
Integrating Cursor with the Dev Toolchain
- Collaboration with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Enhancing team collaboration through shared AI suggestions
Advanced AI Coding Workflows
- Combining multiple AI models for complex coding challenges
- Customizing prompts and managing context windows
- Addressing ethical and security considerations in AI-driven development
Summary and Future Directions
Requirements
- A solid grasp of standard software development workflows
- Practical experience in programming using Python, JavaScript, or TypeScript
- Proficiency with Git and basic code editors
Target Audience
- Software Developers
- DevOps Engineers
- Professionals interested in AI and automation
