Testing & QA. Test Generation

AI Generates Your Entire Test Suite Automatically

Point AI at your codebase and get a complete, maintainable test suite with 80%+ coverage in minutes, for any language, framework, or architecture.

Before
// No tests
export function add(a, b) {
return a + b;
}
After (generated)
describe('add', () => {
it('adds two numbers', () => {
expect(add(2, 3))
.toBe(5);
});
it('handles negatives', ...
it('handles zero', ...
});
Generated 3 tests · 94% coverage · 0 flakes · 10 min runtime
80%+
Coverage
10min
Full suite gen
Self
Healing
Any
Framework

Overview

What is AI test generation?

Writing tests is time-consuming and often the first thing cut when schedules tighten. AI test generation analyses your source code, its functions, branches, edge cases, and data flows, and generates a complete suite of unit, integration, and regression tests. Tests are written in your chosen framework, follow your coding style, and self-heal when source code changes break test selectors.

What's included

Full-codebase analysis

AI parses your entire codebase, functions, classes, API handlers, and data models, to identify every testable unit and edge case.

Multi-framework support

Generate tests in Jest, Vitest, Pytest, JUnit, RSpec, Mocha, and 20+ other frameworks. Output matches your existing style conventions.

Edge case generation

AI identifies boundary conditions, null inputs, overflow scenarios, and error paths that human engineers routinely miss.

Self-healing tests

When refactoring changes a function signature or component structure, AI automatically updates affected tests rather than leaving them broken.

Coverage gap analysis

Analyse existing test suites and generate targeted tests to fill specific coverage gaps, without rewriting what already works.

CI integration

Generated tests are committed to your repo and run in CI on every PR. Coverage reports are posted as PR comments automatically.

How it works

From setup to production

01

Connect

Connect your repository via GitHub, GitLab, or Bitbucket. AI scans the codebase and builds a complete understanding of its structure.

02

Generate

AI generates a test suite covering units, integration points, and edge cases. Review the generated tests in a pull request before merging.

03

Review

Engineers review and optionally edit generated tests. Feedback is used to refine generation quality for subsequent runs.

04

Maintain

Self-healing keeps the suite green as your codebase evolves. Coverage reports flag new code that lacks tests.

01

Connect

Connect your repository via GitHub, GitLab, or Bitbucket. AI scans the codebase and builds a complete understanding of its structure.

02

Generate

AI generates a test suite covering units, integration points, and edge cases. Review the generated tests in a pull request before merging.

03

Review

Engineers review and optionally edit generated tests. Feedback is used to refine generation quality for subsequent runs.

04

Maintain

Self-healing keeps the suite green as your codebase evolves. Coverage reports flag new code that lacks tests.

FAQ

Common questions

Related

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