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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 LLM integration within software development.
Configuring Cursor
- Installation and setup of Cursor.
- Linking to GitHub and GitLab.
- Exploring the workspace and layout.
Utilising Cursor for Code Generation
- Prompting Cursor for new code snippets.
- Context-aware suggestions and completions.
- Best practices for crafting effective prompts.
Debugging and Error Resolution
- Employing AI assistance for debugging.
- Identifying and resolving common issues.
- AI-guided unit testing and error analysis.
Code Refactoring and Documentation
- AI-driven refactoring techniques.
- Automated documentation generation.
- Maintaining consistency across extensive projects.
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal tools.
- Incorporating Cursor into CI/CD pipelines.
- Collaborating with teams using AI suggestions.
Advanced AI Coding Workflows
- Combining AI models for complex coding tasks.
- Customising prompts and context windows.
- Ethical and security considerations in AI-assisted development.
Summary and Next Steps
Requirements
- A comprehension of software development workflows.
- Practical experience programming in Python, JavaScript, or TypeScript.
- Familiarity with Git and fundamental code editors.
Target Audience
- Software developers.
- DevOps engineers.
- Enthusiasts of AI and automation.
21 Hours