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Course Outline
The AI-Native IDE Architecture
- How Cursor is built on a fork of VS Code with deep model integration.
- Comparison between standard VS Code with extensions versus Cursor-native features.
- Cursor's model hosting options: Claude, GPT, and custom endpoints.
- Overview of the roadmap from autocomplete to full agent workflows.
The Composer and Multi-File Editing
- Invoking the Composer to plan across files.
- Reviewing generated edits before accepting or rejecting them.
- Managing undo and checkpoint states in long Composer sessions.
- Testing the build after Composer-assisted changes.
Context-Aware Chat and Smart References
- Using @file and @codebase to focus chat context.
- Referencing specific functions, classes, and documentation files.
- Summarizing code intent before requesting modifications.
- Avoiding context overflow by narrowing references.
Agent Mode and Autonomous Refactoring
- Triggering agent mode with high-level prompts.
- Observing the agent plan, edit, test, and iterate.
- Intervening when the agent heads in the wrong direction.
- Handling merge conflicts after agent-driven multi-file rewrites.
Installation and Model Configuration
- Setting up Cursor on macOS, Windows, and Linux.
- Choosing and switching models per task type.
- Using your own API key instead of Cursor's shared hosting.
- Configuring high-context models for large codebase navigation.
Team Workspaces and Shared Context
- Creating team workspaces and inviting members.
- Sharing custom rules, style guides, and context files.
- Establishing default prompts for recurring team workflows.
- Tracking usage and costs across the workspace.
Custom Rules and Prompts for Consistency
- Writing .cursorrules for project-wide conventions.
- Automating code review comments through prompt engineering.
- Maintaining architecture decision records with agent assistance.
- Versioning rule files as part of the repository.
Integration with Version Control and CI
- Writing commit messages from diff summaries.
- Pre-commit prompts: running linters and type checkers before committing.
- Opening pull requests with AI-generated descriptions.
- Responding to review comments with targeted changes inside Cursor.
Debugging Agent-Assisted Code
- Tracing runtime errors back to agent-generated assumptions.
- Using the chat panel to investigate why a specific error occurred.
- Regression testing after broad automated refactors.
- Managing hallucinated imports and missing dependencies.
Performance and Security
- Indexing speed and storage impact on large repositories.
- Excluding sensitive files from agent context automatically.
- Understanding Cursor's data retention and training opt-out policies.
- Handling compliance requirements when using hosted models.
Summary and Transitioning to Advanced Topics
- Recap of Cursor versus other IDE-first AI tools.
- Building a library of reusable prompts and rules.
- Staying updated with Cursor's monthly release cadence.
Requirements
- Experience using a modern IDE such as VS Code or JetBrains products.
- Programming experience in any language.
- Basic understanding of Large Language Model (LLM) concepts and prompting techniques.
Audience
- Development teams evaluating or adopting Cursor as their primary IDE.
- Engineering managers responsible for procuring AI tooling.
- Freelance developers looking to accelerate client projects using Cursor.
14 Hours
