🕵️♂️ My TOP-5 Ideas for Cursor Subagents
Discover 5 powerful ideas for Cursor AI subagents—from code review automation to git workflow optimization. Learn how subagents improve context efficiency, reduce costs, and enable parallel execution in your development workflow.
In short: What's Subagent? It's an independent agent that Main Agent can spawn during conversations. Here are the decent benefits:
Why Subagents Matter
Context efficiency
Subagents have personal Context Window. They don't consume main conversation's context.
Time and cost efficiency
Some tasks require less powerful model to solve. You can choose faster and cheaper model to execute them.
Parallel execution
Agents can be sequential or background. The first one is awaited by the Main Conversation. The others can be executed in parallel or by events.
How to create subagent in Cursor?
Cursor comes with 3 pre-built agents: Explore, Bash and Browser. You've probably already seen them in action. But you can create your custom agents. Configure the trigger condition, custom prompts, LLM and available tools.
You can create your custom subagents. Just create an <agent-name>.md file in .cursor/agents folder.
Here are my 5 ideas that I've already started creating for myself:
🧑🔬 Researcher
Need info about the framework, lib or SDK? Let a subagent spawn, find it and present to you in desired format. Make it look for alternatives and define their strengths and weaknesses.
🔎 Code Reviewer
Why not try it? Before you start your code review - let your subagent do a pre-analysis. Give it your code-review checklist. Ask questions about someone's code. Make it review your own code before you publish it.
🍃 Git Master
Make it generate branch names. Commit messages. Automatically help resolve merge conflicts. Ask it about the history of this file or a line. Like Git Blame but on steroids.
🐀 Repositories Spy
If your app is split across different repos - you can make a faster and cheaper model go get the needed info or code snippets from another repo and bring it back to Main Conversation keeping the context clean.
📂 File analyzer
I often feed files to Agent for analysis. And you? Why not create a separate Subagent to analyze PDFs, Google Sheets or CSV. With LLM-ready or human-readable result. All in a separate context window.
What's Next?
In 2 weeks I'll post my results of testing them here. The feature sounds extremely promising.
Official Docs
https://cursor.com/docs/context/subagents
About the Author
Yaroslav Dobroskok is an AI for coding expert who has trained 900+ developers across 25+ companies on integrating AI tools into their development workflows. A GitHub Copilot beta tester and Udemy instructor, he helps development teams achieve 25-37% velocity improvements through structured AI adoption.
Connect on LinkedIn: https://www.linkedin.com/in/yardobr/