Cursor prompt improver

Paste a rough prompt, get a model-ready version that follows Cursor's conventions. Free. No sign-in.

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What good Cursor prompts look like

A Cursor prompt can lead to edits across a live repository, so clarity is partly about controlling the blast radius. Describe the behavior to change, show the evidence, point to likely context without pretending the diagnosis is settled, and define how the result will be verified. A good coding-agent prompt also distinguishes investigation from implementation. That gives you a checkpoint before code changes and a concise basis for reviewing what the agent did.

Describe the observed behavior before your theory

Include the exact error, failing test, request and response, or reproduction steps. State what you expected and what happened instead. A suspected cause can be useful, but label it as a lead rather than a fact. This lets Cursor inspect the repository without being anchored to an unverified diagnosis. Remove tokens, customer data, and other secrets from logs before pasting them into any prompt.

Name the relevant surface and the boundary

Point to the feature, package, route, or files that are likely involved. Then state what must remain unchanged: public API shape, database schema, dependency set, copy, or unrelated modules. File guesses are context, not permission to ignore adjacent code that proves the cause. A narrow boundary reduces review work while still allowing the agent to follow the evidence where it leads.

Separate investigation from modification

For uncertain defects, ask Cursor to reproduce or trace the problem, list likely causes with evidence, and recommend the smallest fix before editing. Use an explicit approval checkpoint when the change could alter architecture, data, security, or public behavior. For a well-understood mechanical change, the checkpoint may be unnecessary. The prompt should match the risk, not impose a ceremony on every one-line repair.

Define the smallest acceptable change

Say whether new dependencies, migrations, generated files, or broad refactors are allowed. Ask the agent to follow existing repository conventions and preserve unrelated working-tree changes. If the request is a feature, identify the minimum user-visible behavior rather than prescribing an entire implementation from memory. This keeps the agent focused on the outcome while leaving room to discover a cleaner existing pattern in the codebase.

Make verification part of the request

Name the failing test or a deterministic reproduction when one exists. Otherwise ask Cursor to add a focused regression test, run the relevant checks, and report exact commands and results. Include manual checks only for behavior that automated tests cannot reasonably cover. "Fix the bug" has no finish line; "the regression test passes and the API contract is unchanged" is a result you can evaluate.

Request a concise handoff

Ask for the cause, changed files, verification, and remaining risk. Do not request a long diary of tool calls. If the agent made an assumption, it should identify the assumption and the evidence behind it. For security-sensitive changes, add a threat-specific check such as authorization boundaries or secret handling. A compact handoff makes the final diff easier to review and gives the next engineer the state they need.

Before and after

the login sometimes fails after deploy fix it
Investigate the intermittent login failure that began after the latest deploy. Observed behavior: - The first login after an idle period fails about 1 time in 10. - A second attempt succeeds. - Error or log excerpt: [paste a redacted excerpt]. Start with the session middleware, token refresh path, and changes in the latest deploy, but treat those as leads. Reproduce or trace the failure before editing. Report the most likely cause with file and line evidence, then implement the smallest fix. Constraints: preserve the authentication API contract, do not add dependencies, do not refactor unrelated code, and preserve existing user changes. Verification: add or identify a regression test for the first login after idle, run the focused test and existing auth checks, and report the exact results plus any remaining uncertainty.

The rewrite replaces a diagnosis-free command with observable behavior, redacted evidence, bounded leads, and a clear sequence. It fences the API and unrelated code, then defines a regression check tied to the failure. Cursor can still discover the cause, but it has less freedom to solve a different problem or declare success without proof.

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