# AI use cases for Supercov (supercorp-ai/supercov)

Repo: [supercorp-ai/supercov](https://github.com/supercorp-ai/supercov) | Use cases: 4 | Page: https://dedupedai.com/use-cases/supercorp-ai-supercov/

Supercov is a free, open source, local tool that measures test coverage, assertion strength, code quality and security so coding agents know what to fix and what to test.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Write the first test for uncovered code: https://dedupedai.com/use-cases/supercorp-ai-supercov/write-first-missing-test/
- Rank files by code smells before a review: https://dedupedai.com/use-cases/supercorp-ai-supercov/score-code-quality-before-review/
- Check a branch for security risks before merging: https://dedupedai.com/use-cases/supercorp-ai-supercov/check-branch-for-security-risks/
- Attach a private coverage report to a pull request: https://dedupedai.com/use-cases/supercorp-ai-supercov/share-coverage-evidence-in-pull-request/

## How to write the first test for uncovered code with Supercov

Repo: [supercorp-ai/supercov](https://github.com/supercorp-ai/supercov) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Find one uncovered path in your suite and add a focused test that proves coverage improved.

**Who it is for:** A developer or coding agent working in a repo whose test suite passes but leaves some code paths untested.

**The problem:** Coverage numbers do not say which test to write next, and a large HTML report is hard to read or hand to an agent.

**The outcome:** One new test that covers a named gap, with a before and after comparison showing what the new test covered.

### Steps

1. Run `npx supercov -- npm test` in the repository root to run the real suite under Supercov.
2. Run `npx supercov runs latest gaps --limit 5` to list the files that still have unresolved coverage obligations.
3. Write one focused test for a single gap, changing only test files and not application code.
4. Run `npx supercov -- npm test` again so the complete suite is measured with the new test.
5. Run `npx supercov diff latest` to confirm exactly what the new test covered. (inferred, check the README)

### Prompt to paste into your agent

```text
Use Supercov on the supercov repo's target project at <project path>. Choose one uncovered file from `npx supercov runs latest gaps --limit 5`, add one focused test in the test directory only, and rerun the full suite through `npx supercov -- <test command>`. Report the output of `npx supercov diff latest` and confirm the suite still passes.
```

### Caveat

Supercov measures coverage of the test command you give it, so the result is only as complete as that command; the README notes that ambiguous scope and missing evidence are shown as blockers rather than hidden.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supercorp-ai-supercov/write-first-missing-test/

## How to rank files by code smells before a review with Supercov

Repo: [supercorp-ai/supercov](https://github.com/supercorp-ai/supercov) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Score a repository's code quality and see the weakest files and the smells that fired in each.

**Who it is for:** A developer or tech lead who wants to know where a codebase needs cleanup before planning a refactor.

**The problem:** Without a score, it is hard to tell which files are worst or which specific smells, such as long methods or deep nesting, are driving the problem.

**The outcome:** A ranked list of weak files with the smells that fired, plus a per-file reading you can check against the source.

### Steps

1. Export your TypeSafe AI key with `export TYPESAFE_API_KEY=...` using a key from https://typesafe.ai.
2. Run `npx supercov quality` to score the repository and list the weakest files.
3. Run `npx supercov quality gaps` to narrow the output to the smells that fired.
4. Run `npx supercov quality file <path>` to read one file in full, using the path from the weakest list. (inferred, check the README)

### Prompt to paste into your agent

```text
In the supercov repo's target project at <project path>, run `npx supercov quality` with TYPESAFE_API_KEY set, then `npx supercov quality file <path>` for the weakest file. Report the score, the smells that fired, and confirm each smell against the lines of that file.
```

### Caveat

Scoring costs about a cent per megabyte of source, and Jev reads your source files to answer the questions, so it is not a fully local check.

Risk, credentials: Quality scoring needs a TypeSafe AI API key that you export into your shell, so keep it out of committed files and shared logs.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supercorp-ai-supercov/score-code-quality-before-review/

## How to check a branch for security risks before merging with Supercov

Repo: [supercorp-ai/supercov](https://github.com/supercorp-ai/supercov) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Scan only what a change introduced for injection, secrets, and unsafe redirects or paths.

**Who it is for:** A developer or reviewer about to merge a branch or uncommitted change that touches request handling or configuration.

**The problem:** A full security scan of a large repo is slow to read, and reviewers need to know what the specific change added.

**The outcome:** A list of security findings tied to the change, each naming the check that fired and the line where Jev confirms one.

### Steps

1. Export your TypeSafe AI key with `export TYPESAFE_API_KEY=...`.
2. Run `npx supercov security` to scan the whole repository once for a baseline.
3. Run `npx supercov security patch` to check only what your uncommitted work or branch introduced.
4. Run `npx supercov quality patch` to check the same change for code quality problems.

### Prompt to paste into your agent

```text
In the repository at <project path> with TYPESAFE_API_KEY set, run `npx supercov security patch` and then `npx supercov quality patch`. Report each finding with its file and line, and state whether any finding is caused by the current change.
```

### Caveat

The README describes twelve security checks and says findings are not averaged, but it does not claim the scan finds every vulnerability, so treat it as one input to review.

Risk, credentials: The scan needs a TypeSafe AI API key, so keep it in an environment variable and never paste it into a prompt or a committed file.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supercorp-ai-supercov/check-branch-for-security-risks/

## How to attach a private coverage report to a pull request with Supercov

Repo: [supercorp-ai/supercov](https://github.com/supercorp-ai/supercov) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Generate one interactive HTML file with run history so a reviewer can see the coverage change.

**Who it is for:** A developer opening a pull request who wants a reviewer to see the coverage evidence without rerunning the tests.

**The problem:** Reviewers often have no easy way to see what a change covered, and raw terminal output is hard to share.

**The outcome:** A single private report file, stored under .supercov/reports/, that opens in a browser and compares the latest run with the previous snapshot.

### Steps

1. Run `npx supercov -- npm test` to record a complete run with the test command your repository uses.
2. Run `npx supercov report` to generate one private, interactive report file.
3. Find the generated file in `.supercov/reports/`, which the store's own .gitignore keeps out of git.
4. Attach that single file to your pull request so a reviewer can download it and open it in a browser.

### Prompt to paste into your agent

```text
In the repository at <project path>, run `npx supercov -- <test command>` and then `npx supercov report`. Report the path of the file created under .supercov/reports/ and confirm that the file is not tracked by git.
```

### Caveat

The report is written as a file you attach yourself, since the README describes no hosted sharing, so the reviewer receives a copy of the file rather than a live link.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supercorp-ai-supercov/share-coverage-evidence-in-pull-request/