Most developers have tried Cursor, but few are leveraging its full potential with AI agents working autonomously on security, bug fixes, and code optimization. We brought in Lee from the Cursor team to share insider techniques that transform how you build software.
Lee demonstrates how he uses Cursor agents throughout his development day, running 20+ separate conversations for discrete tasks. Each agent conversation focuses on specific improvements like:
Event Tracking Implementation: Simple prompts like "add event tracking when the add to cursor button for an MCP is clicked" yield complete implementations that pass linting and testing automatically.
Layout Shift Fixes: Identifying and resolving UI issues without complex prompting.
Module Resolution: Automatically fixing "could not find file declaration" errors by adding appropriate type definitions.
The key to maximizing Cursor agents lies in understanding context management. Each conversation uses approximately 17% of the context window—the AI's working memory. Just like human conversation, overloading this memory reduces effectiveness.
Best Practice: Start new conversations for each discrete task. This ensures the agent maintains focus and produces higher quality outputs without context pollution from previous tasks.
Lee's setup includes TypeScript, linting, formatting, and comprehensive tests. This enables agents to:
Read their own outputs
Self-correct errors automatically
Pass all quality checks without manual intervention
The system becomes autonomous—you simply define tasks and the agents execute them to completion.
Cursor allows custom rule implementations that dramatically improve output quality. Lee shares his approach:
Writing Quality Rules: Mega-prompts defining voice, tone, and specificity requirements
Banned Words List: Eliminating marketing speak like "mission critical," "performant," and "seamless"
LLM Pattern Detection: Identifying and removing robotic phrasing like "it's not just X, it's Y" patterns
Beyond writing, Cursor enables custom slash commands for specialized tasks:
Code Review Command: Automated checks for common pitfalls including offline functionality, loading states, authentication changes, and caching requirements
Security Review: Automatic security auditing
Vibe Checks: Quality assurance beyond technical correctness
The Cursor team's internal code review usage evolved into BugBot—a product that automatically:
Reviews pull requests
Identifies missed internationalization requirements
Flags security vulnerabilities
Ensures consistency across codebases
BugBot exemplifies how teams can implement zero-bug policies like Linear's renowned approach, turning around fixes incredibly fast.
Cursor agents work beyond the GUI environment:
CLI Implementation: Full agent capabilities available terminal-first for advanced developers
GitHub Actions Integration: Automated security audits in CI/CD pipelines
Slack Integration:
Web Interface: cursor.com/agents provides cloud-based agent execution
These techniques transform how teams operate:
Rapid Bug Resolution: Fixing reported issues within hours instead of days
Quality Assurance: Automated testing and review processes
Customer Satisfaction: Implementing zero-bug policies as competitive advantages
For developers ready to maximize Cursor:
Implement proper linting and testing setups
Create discrete conversations for each task
Develop custom rules for your specific needs
Explore automation through CLI and headless options
Consider BugBot for automated code review
The future of software development involves AI agents handling routine tasks while developers focus on creative problem-solving and distribution strategy. Cursor provides the tools to make this transition seamless and effective.
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