Cursor: Agent Workflows and Team Deployment Training Course

AI-Native IDE Architecture

• The underlying structure of Cursor, built on a VS Code fork with deep model integration.
• A comparative analysis of Cursor-native features versus standard VS Code with extensions.
• Cursor’s model hosting capabilities, supporting Claude, GPT, and custom endpoints.
• A review of the evolutionary roadmap from autocomplete features to comprehensive agent workflows.

Composer and Multi-File Editing

• Activating the Composer to plan changes across multiple files.
• Evaluating generated edits before choosing to accept or reject them.
• Managing undo functions and checkpoint states during extended Composer sessions.
• Verifying build integrity following Composer-assisted modifications.

Context-Aware Chat and Intelligent References

• Leveraging @file and @codebase directives to concentrate chat context.
• Referencing specific functions, classes, and documentation assets.
• Defining code intent before requesting specific modifications.
• Preventing context overflow by refining reference scope.

Agent Mode and Autonomous Refactoring

• Initiating agent mode using high-level instructions.
• Observing the agent’s planning, editing, testing, and iterative processes.
• Intervening to correct the agent’s direction when necessary.
• Resolving merge conflicts arising from agent-driven multi-file rewrites.

Installation and Model Configuration

• Deploying Cursor on macOS, Windows, and Linux environments.
• Selecting and switching models based on specific task requirements.
• Utilizing personal API keys as an alternative to Cursor’s shared hosting.
• Configuring high-context models for navigating extensive codebases.

Team Workspaces and Shared Context

• Establishing team workspaces and onboarding new members.
• Distributing custom rules, style guides, and context files.
• Defining default prompts for recurring team processes.
• Monitoring usage metrics and costs across the workspace.

Custom Rules and Prompts for Consistency

• Authoring .cursorrules to enforce project-wide standards.
• Streamlining code review comments through advanced prompt engineering.
• Maintaining architecture decision records with agent support.
• Versioning rule files alongside the code repository.

Integration with Version Control and CI

• Generating commit messages from diff summaries.
• Implementing pre-commit prompts to run linters and type checkers.
• Creating pull requests with AI-generated descriptive content.
• Addressing review comments with precise changes within Cursor.

Debugging Agent-Assisted Code

• Tracing runtime errors back to assumptions made by the agent.
• Using the chat interface to investigate the root cause of specific errors.
• Performing regression testing following extensive automated refactoring.
• Managing hallucinated imports and unresolved dependencies.

Performance and Security

• The impact of indexing speed and storage on large-scale repositories.
• Automatically excluding sensitive files from the agent’s context.
• Reviewing Cursor’s data retention policies and training opt-out options.
• Meeting compliance requirements when utilizing hosted models.

Summary and Advanced Topics

• A comparative review of Cursor against other IDE-centric AI tools.
• Developing a repository of reusable prompts and rules.
• Staying current with Cursor’s monthly release cycle.