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Course Outline
Fundamentals of AI-Assisted Development
- The concept of AI-assisted coding
- Key features of Cursor
- How LLMs integrate into software development
Initial Setup for Cursor
- Installation and configuration steps
- Linking with GitHub and GitLab
- Navigating the workspace and interface
Generating Code with Cursor
- Prompting Cursor to create new code snippets
- Receiving context-aware suggestions and completions
- Strategies for crafting effective prompts
Debugging and Resolving Errors
- Leveraging AI support for debugging
- Identifying and fixing common issues
- AI-guided unit testing and error analysis
Refactoring and Documenting Code
- Techniques for AI-driven refactoring
- Automating documentation creation
- Ensuring 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 using AI suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding challenges
- Tuning prompts and managing context windows
- Ethical and security perspectives in AI-assisted development
Conclusion and Future Steps
Requirements
- A solid grasp of software development processes.
- Practical experience with Python, JavaScript, or TypeScript.
- Working knowledge of Git and standard code editors.
Target Audience
- Software Developers
- DevOps Engineers
- Enthusiasts of AI and automation
21 Hours
