Beta — Early Access

AI Test Generation That Actually Understands Your Code

Send your source code to our API. Get back production-ready unit tests with edge cases, mocks, and full framework support. No prompt engineering required.

The Problem

Writing Tests Is the Part Nobody Wants to Do

Developers spend 30% of their time writing tests. Generic AI tools make it worse, not better.

Generic AI = Generic Tests

ChatGPT and Copilot generate tests that look right but miss the edge cases that matter. They don't understand your testing framework's idioms or your project's patterns.

Hours of Manual Cleanup

You paste code into an AI, get back something half-working, then spend an hour fixing imports, mocks, and assertions. The "time saved" becomes time wasted.

Blind Spots in Coverage

Null inputs, boundary values, async race conditions, error paths. Generic tools test the happy path and call it a day. Real bugs hide in the edges.

The Solution

A Test Generation API Built for Developers

One API call. Production-ready tests. Framework-native output with real edge case coverage.

Specialized, Not General-Purpose

Built exclusively for test generation. Every model parameter, every prompt, every output format is optimized for writing tests — not chat, not code completion, just tests.

Framework-Aware Output

Specify pytest, jest, junit, vitest, or go test and get idiomatic tests that follow each framework's conventions, including fixtures, parameterized tests, and proper assertions.

Edge Cases by Default

Every generated test suite includes null handling, boundary values, error paths, and type coercion tests. The things you always forget to test, covered automatically.

CI/CD Integration

Drop it into your pipeline. Run test generation on every PR. Auto-generate missing tests for changed files. Works with GitHub Actions, GitLab CI, and any HTTP-capable runner.

See It Work

From Source Code to Tests in One API Call

Send a function, get back a complete test suite. Here's what that looks like.

your code
# cart.py

def calculate_total(items, discount_code=None):
    """Calculate cart total with optional discount."""
    if not items:
        raise ValueError("Cart is empty")

    subtotal = sum(
        item["price"] * item["qty"]
        for item in items
    )

    if discount_code == "HALF":
        subtotal *= 0.5
    elif discount_code == "10OFF":
        subtotal -= 10

    return round(max(subtotal, 0), 2)
generated tests
import pytest
from cart import calculate_total


class TestCalculateTotal:
    def test_single_item(self):
        items = [{"price": 9.99, "qty": 2}]
        assert calculate_total(items) == 19.98

    def test_discount_half(self):
        items = [{"price": 40, "qty": 1}]
        assert calculate_total(items, "HALF") == 20.0

    def test_discount_10off_floors_at_zero(self):
        items = [{"price": 5, "qty": 1}]
        assert calculate_total(items, "10OFF") == 0

    def test_empty_cart_raises(self):
        with pytest.raises(ValueError):
            calculate_total([])

    def test_unknown_discount_ignored(self):
        items = [{"price": 10, "qty": 1}]
        assert calculate_total(items, "FAKE") == 10
Pricing

Start Free, Scale When Ready

No credit card required. Upgrade when the API pays for itself.

Free
$0
forever
  • 50 test generations / month
  • Python + JavaScript
  • pytest & Jest output
  • Community support
Get Early Access
Team
$99
/ month
  • Everything in Pro
  • 5 team seats included
  • CI/CD pipeline integration
  • Coverage gap detection
  • SSO & audit logs
Get Early Access
Early Access

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