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Course Outline
Introduction to AI-Assisted Development
- The concept of AI-assisted coding.
- An overview of Cursor’s core features.
- Understanding the role of LLM integration in software development.
Setting Up Cursor
- Installing and configuring Cursor.
- Establishing connections with GitHub and GitLab.
- Navigating the workspace and layout.
Leveraging Cursor for Code Generation
- Prompting Cursor to create new code snippets.
- Utilizing context-aware suggestions and completions.
- Best practices for crafting effective prompts.
Debugging and Resolving Errors
- Applying AI assistance for debugging tasks.
- Identifying and fixing common issues.
- AI-guided unit testing and error analysis.
Refactoring Code and Generating Documentation
- Techniques for AI-driven refactoring.
- Automating documentation generation.
- Maintaining consistency across large-scale projects.
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal tools.
- Incorporating Cursor into CI/CD pipelines.
- Fostering team collaboration using AI-generated suggestions.
Advanced AI Coding Workflows
- Combining AI models to handle complex coding tasks.
- Customizing prompts and context windows.
- Ethical and security considerations in AI-assisted development.
Summary and Next Steps
Requirements
- A solid grasp of software development workflows.
- Proficiency in programming using Python, JavaScript, or TypeScript.
- Working knowledge of Git and standard code editors.
Target Audience
- Software developers.
- DevOps engineers.
- Professionals interested in AI and automation.
21 Hours
