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Duration 21 hours
Course Outline
Foundations of AI-Assisted Development
- The concept of AI-assisted coding.
- A summary of Cursor’s primary features.
- The role of LLM integration in modern software development.
Setting Up Cursor
- Installation and initial configuration steps.
- Linking with GitHub and GitLab platforms.
- Navigating the workspace and interface layout.
Leveraging Cursor for Code Creation
- Prompting Cursor to generate new code snippets.
- Understanding context-aware suggestions and auto-completions.
- Strategies for crafting effective prompts.
Debugging and Fixing Errors
- Applying AI assistance to the debugging process.
- Detecting and resolving frequent coding issues.
- Performing AI-guided unit testing and error analysis.
Refactoring Code and Generating Documentation
- Techniques for AI-driven code refactoring.
- Automating the creation of documentation.
- Ensuring consistency in large-scale projects.
Connecting Cursor with Development Tools
- Collaborating with VS Code and terminal utilities.
- Incorporating Cursor into CI/CD pipelines.
- Team collaboration using AI-powered suggestions.
Advanced AI Coding Processes
- Utilizing multiple AI models for complex coding challenges.
- Tuning prompts and context windows for optimal results.
- Addressing ethical and security concerns in AI-assisted development.
Conclusions and Future Steps
Requirements
- A solid grasp of standard software development workflows.
- Practical experience coding in Python, JavaScript, or TypeScript.
- Knowledge of Git and basic code editing tools.
Target Audience
- Software Developers
- DevOps Engineers
- Professionals interested in AI and automation