home / skills / willsigmon / sigstack / qodo-cover-expert

qodo-cover-expert skill

/plugins/testing/skills/qodo-cover-expert

This skill helps you boost test coverage by generating AI-driven tests for your TypeScript code and CI integration.

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SKILL.md
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---
name: Qodo Cover Expert
description: Qodo Cover - AI-generated test coverage, automatic test writing
allowed-tools: Read, Edit, Bash, WebFetch
model: sonnet
---

# Qodo Cover Expert

AI-powered test generation for automatic coverage improvement.

## What is Qodo Cover?

Formerly Codium Cover - uses AI to automatically generate meaningful tests.

- Analyzes your code semantically
- Generates edge cases automatically
- Finds bugs through test generation
- Integrates with CI/CD

## Pricing (2026)

- **Free**: 10 test generations/month
- **Pro**: $19/month - Unlimited generations
- **Team**: $49/user/month - CI integration

## CLI Installation

```bash
pip install qodo-cover
```

## Basic Usage

### Generate Tests for File
```bash
qodo-cover generate src/utils/validation.ts
```

### Output
```typescript
// Generated tests for validation.ts
describe('validateEmail', () => {
  it('should accept valid email', () => {
    expect(validateEmail('[email protected]')).toBe(true);
  });

  it('should reject email without @', () => {
    expect(validateEmail('userexample.com')).toBe(false);
  });

  it('should reject email with spaces', () => {
    expect(validateEmail('user @example.com')).toBe(false);
  });

  // AI found edge case!
  it('should handle unicode domains', () => {
    expect(validateEmail('user@例え.jp')).toBe(true);
  });
});
```

## Configuration

### qodo.yaml
```yaml
language: typescript
test_framework: jest
coverage_target: 80
output_dir: __tests__/generated

exclude:
  - "**/*.d.ts"
  - "**/node_modules/**"

focus:
  - src/core/**
  - src/utils/**
```

## CI Integration

### GitHub Actions
```yaml
name: AI Test Generation
on:
  pull_request:
    paths:
      - 'src/**/*.ts'

jobs:
  generate-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Generate Tests
        run: |
          pip install qodo-cover
          qodo-cover generate --changed-files
        env:
          QODO_API_KEY: ${{ secrets.QODO_API_KEY }}

      - name: Run Generated Tests
        run: pnpm test

      - name: Comment Coverage
        uses: actions/github-script@v6
        with:
          script: |
            // Post coverage improvement comment
```

## Best Practices

### 1. Review Generated Tests
```bash
# Generate but don't auto-commit
qodo-cover generate src/ --dry-run

# Review and curate
qodo-cover generate src/ --interactive
```

### 2. Focus on Complex Logic
```bash
# Target high-complexity files
qodo-cover generate --complexity-threshold 10
```

### 3. Combine with Manual Tests
```
__tests__/
├── generated/     # AI-generated (don't edit)
├── unit/          # Manual unit tests
└── integration/   # Manual integration tests
```

## Swift Support

```bash
qodo-cover generate Sources/App/ \
  --language swift \
  --test-framework xctest
```

## Comparison: AI Test Generators

| Tool | Languages | Quality | Price |
|------|-----------|---------|-------|
| Qodo Cover | TS, Python, Java | High | $19/mo |
| Copilot | All | Medium | $19/mo |
| Diffblue | Java only | Very High | Enterprise |
| Mabl | E2E only | High | $500+/mo |

Use when: Bootstrapping tests, increasing coverage quickly, finding edge cases

Overview

This skill provides AI-powered test generation to automatically improve code coverage and surface edge cases. It analyzes TypeScript (and other languages) semantically, produces runnable tests, and can integrate into CI pipelines for continuous coverage improvement. Use it to bootstrap test suites, find subtle bugs, and keep coverage targets enforced across PRs.

How this skill works

The tool scans target files or changed files, infers intended behavior, and generates unit tests tailored to the code and configured test framework (for example, Jest for TypeScript). It can focus on high-complexity areas, produce edge-case scenarios, and output tests into a configurable directory. Optional CI steps run generation on pull requests, execute the generated tests, and publish coverage feedback.

When to use it

  • Bootstrapping tests for a legacy or untested codebase.
  • Increasing coverage quickly to meet a coverage target or policy.
  • Catching hard-to-think-of edge cases the AI can infer.
  • Automating test additions in PRs through CI integration.
  • Saving developer time on repetitive unit test boilerplate.

Best practices

  • Run generation in dry-run or interactive mode and review tests before committing.
  • Target generation to complex modules using a complexity threshold to get higher value tests.
  • Keep AI-generated tests in a dedicated folder and maintain manual tests separately.
  • Wire generation into CI for PR-scoped runs and require human review for commits.
  • Set a realistic coverage_target and iterate: generate, review, tune config.

Example use cases

  • Generate Jest tests for src/utils/validation.ts to capture normal and unicode input edge cases.
  • Add CI job that regenerates tests for changed files on each pull request and posts coverage deltas.
  • Focus generation on core business logic to find logic branches and missing error handling.
  • Use --complexity-threshold to concentrate on files with the most untested complexity.
  • Generate Swift XCTest files for a Swift target by switching language and framework options.

FAQ

Does the tool commit generated tests automatically?

No—use dry-run or interactive modes to review generated tests before committing; CI can be configured to only post results or to commit behind protected workflows.

Which languages and frameworks are supported?

Primary support includes TypeScript with Jest, plus Python, Java, and Swift options; the test framework is configurable per-project.