Workflows
Multi-step, agentic development loops in a real repo.
The agent loop, used well
Cursor's agent can take a goal, plan a set of edits across files, apply them, and iterate toward a result — the agent loop. Used well it is genuinely fast at mechanical, multi-file work. Used carelessly it sprawls: it edits more than you expected, drifts from the goal, and leaves you untangling changes you did not review. The difference is entirely in how you brief and supervise it, not in the model.
Scope tight, review the diff
The reliable pattern is to give the agent a scoped task with clear acceptance criteria, let it propose a plan before it edits, review the diff before accepting, and keep each run small enough to verify. Treat it like a fast junior engineer who has read your whole repo — brilliant at the grunt work, but it still needs a clear brief and a review before merge. Good project rules and a fresh index make its plans sharper, because it starts with real context.
The workflow topics to explore
This section covers the agent loop — driving Cursor's agent to plan and execute multi-file changes reliably. Work through the cards below to get speed without the sprawl.
What is the Cursor agent loop?
It is the cycle where Cursor's agent takes a goal, plans changes across your files, applies them, and iterates toward the result. It excels at mechanical, multi-file work when given a clear, scoped brief.
How do I stop the Cursor agent from making too many changes?
Give it a scoped task with clear acceptance criteria, have it propose a plan before editing, and keep each run small enough to review. Tight scope and a diff review are what keep the agent from sprawling.
Should I let the Cursor agent edit without review?
No — review the diff before accepting. Treat the agent like a fast junior engineer: excellent at the mechanical work, but its changes still need a brief up front and a review before you merge them.
How do I make the Cursor agent produce better plans?
Give it good project rules and keep the codebase index fresh, so it plans from real context. A well-scoped request plus accurate context produces sharper, more reliable plans.
Can you drive Cursor's agent?
Three questions on running the agent across a real repo — plans, checkpoints, and why a vague goal produces a diff you can't review. No sign-up, instant score, and you can share how you did.
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Q1 What's the reliable shape of an agent run in Cursor?Why
Plan, checkpoint, execute. The plan is where a wrong assumption is cheap to catch — after execution it's spread across every file it touched.
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Q2 You skip the plan checkpoint. What's the risk?Why
That's the whole reason the checkpoint exists. Without it, your first look at the work is a huge diff built on a premise you never agreed to.
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Q3 What makes a task suitable for the agent?Why
An unscoped task with no success condition lets the agent wander and over-edit. Scope and done-criteria are what make the resulting diff reviewable rather than archaeological.