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Course Outline
Introduction to AI-Enhanced Development
- The concept of AI-assisted coding
- Key features of Cursor
- The role of LLM integration in modern software development
Configuring Cursor
- Installation and initial setup of Cursor
- Linking with GitHub and GitLab services
- Navigating the workspace and interface layout
Leveraging Cursor for Code Generation
- Using prompts to create new code snippets
- Accessing context-aware suggestions and auto-completions
- Best practices for crafting effective prompts
Debugging and Problem Resolution
- Applying AI assistance to the debugging process
- Identifying and addressing common coding issues
- AI-guided unit testing and error analysis
Refactoring and Documentation
- Techniques for AI-driven code refactoring
- Generating documentation automatically
- Ensuring consistency across large-scale projects
Integrating Cursor into Development Toolchains
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Fostering team collaboration through AI-driven suggestions
Advanced AI Coding Workflows
- Combining AI models for complex coding challenges
- Customizing prompts and managing context windows
- Ethical and security considerations in AI-assisted development
Conclusion and Future Steps
Requirements
- A solid grasp of software development lifecycles and workflows.
- Practical experience programming in Python, JavaScript, or TypeScript.
- Proficiency with Git and standard code editors.
Target Audience
- Software developers.
- DevOps engineers.
- Professionals interested in AI and automation.
21 Hours
