Cursor or Claude Code: how to choose using your own tasks

Choose an AI coding tool around the way you review changes. You may prefer keeping code and diffs visible in an editor, or assigning a bounded task from the terminal and returning to the checks.

Cursor and Claude Code both offer agentic work on a project. Describing one as autocomplete and the other as an agent no longer reflects their capabilities. See the Cursor Agent overview and Claude Code overview.

• Cursor Agent overview
• Claude Code overview

This article presents no original benchmark or speed winner. It provides selection criteria and a repeatable comparison protocol for your repository.

What are you comparing?

Separate the application, model and access conditions. Even the same model name does not make two runs identical: context, tools and task handling differ.

Check current prices and limits in your account when comparing. Subscription price alone does not tell you the cost of an accepted change.

When to start with Cursor

Try Cursor first if you prefer working in an editor: reading files, refining implementation in place and frequently switching between manual edits and the agent. Its agent interface combines code work and project tools. Cursor documentation.

• Cursor documentation

Look beyond generation during the trial. Check how easily you notice an unnecessary change and bring the task back within scope. If this repeatedly requires another tool, include that time in your assessment.

When to start with Claude Code

Try Claude Code first if you are comfortable with a terminal, project commands and the sequence “investigate → change → verify.” Claude Code also has interfaces and integrations beyond the terminal. Ways to use Claude Code.

• Ways to use Claude Code

Prepare project instructions, but do not give the exact solution in advance. Otherwise, you test recipe-following rather than the ability to investigate the problem.

• project instructions

Prepare three identical assignments

Choose tasks whose outcomes you can evaluate:

1. Fix a known bug with a reproducible symptom.
2. Add a small feature with predefined acceptance criteria.
3. Refactor while preserving existing behavior.

Start each run from the same repository version. Create independent working copies, for example with Git worktree. Do not pass the first tool's solution into the second tool's context.

• Git worktree

Example assignment:

When form submission fails, the user loses the entered text. Find and fix the cause. Values must remain after an error; successful submission must keep working. Add or update the relevant check. Do not change the form's appearance.

Record tools, models, versions, permissions, available tests and maximum duration before starting. If conditions differ, state that in the report.

Evaluate the results

Do not measure only the time until “done.” Measure time to an accepted change, including your reading and subsequent corrections.

Run the same checks yourself on both versions. Repeat the assignments when possible: one unusually good or bad answer is easy to overvalue. Do not combine everything into a quality score before deciding what matters to you.

Make the decision

If both pass, choose the tool that makes mistakes easier to notice and results easier to accept. If one writes faster but needs more recovery work, count the entire cycle.

You can also use one tool for implementation and another for a separate review. The second agent can still be wrong. Each finding needs a specific problem and a way to confirm it.