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Duration 21 hours
Course Outline
Foundations of AI-Assisted Development
- Defining AI-assisted coding
- Key features of Cursor
- The role of LLM integration in modern software development
Cursor Setup and Configuration
- Installation and initial setup steps
- Linking to GitHub and GitLab services
- Navigating the workspace and interface layout
Generating Code with Cursor
- Prompting Cursor for new code snippets
- Leveraging context-aware suggestions and completions
- Strategies for crafting effective prompts
Debugging and Error Management
- Applying AI assistance to debugging tasks
- Diagnosing and fixing common issues
- AI-guided unit testing and error analysis
Refactoring and Documentation Enhancement
- Techniques for AI-driven refactoring
- Generating automatic documentation
- Ensuring consistency across large-scale projects
Integrating Cursor into Dev Toolchains
- Collaborating with VS Code and terminal utilities
- Incorporating Cursor into CI/CD pipelines
- Facilitating team collaboration through AI suggestions
Advanced AI Coding Strategies
- Utilizing combined AI models for complex tasks
- Tuning prompts and context windows
- Ethical and security best practices in AI development
Conclusion and Future Directions
Requirements
- Working knowledge of software development lifecycles
- Practical experience with Python, JavaScript, or TypeScript
- Proficiency with Git and standard code editors
Target Audience
- Software Engineers
- DevOps Professionals
- Professionals interested in AI and automation
