Momentic: Automate software testing with AI
Momentic · Coding
Momentic is an AI test automation platform for web and mobile apps. Teams write plain-English YAML tests, self-healing steps fix broken locators, and an AI QA agent catches bugs before release.
About Momentic: Automate software testing with AI
What Is Momentic
Momentic is an end-to-end testing platform built for teams that ship often. Instead of recording clicks or hand-writing CSS selectors, you describe a user flow in plain English inside a YAML file, and agents perform the steps in a real browser or app. The test files sit in your repository, so they show up in code review and version history like any other code.
The product solves a familiar problem: tests break faster than apps change. Momentic re-finds buttons and fields when a layout shifts, then proposes a permanent repair as a diff you approve. A triage agent reads failing runs, sorts them into app bugs, flaky tests, or environment problems, and suggests a fix. That matters when a green build is the gate before a deploy.
It's also built for the agent era. A coding agent can call Momentic over MCP, write a test for the flow it just changed, and run it in a live session. The limits are real: tests run on hosted or local browsers and virtual devices, never on physical phones, and heavy AI features draw hundreds of credits per run.
Getting Started
- Create an account at app.momentic.ai and claim the free 2,000 monthly credits.
- Describe your product in the Knowledge base: terminology, business rules, and what a correct flow looks like.
- Write a first test as a YAML file with plain-English steps and assertions, or let an AI action draft it.
- Run the test in the editor, where interactive runs are free, and fix anything that fails.
- Add the CLI to your CI job so the exit code blocks merges, then review healing diffs as the UI changes.
Product Information
A quick look at Momentic: Automate software testing with AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Small product teams without a dedicated QA staff
- QA engineers moving off record-and-playback tools
- Platform teams supporting coding agents
Tasks
- Regression testing before a deploy
- Sign-up, login, and password reset checks
- Mobile app testing on iOS and Android
- Visual and DOM assertions
Scenarios
- A redesign breaks half your selectors
- A failed run with no obvious cause
- A coding agent ships a large diff
Key features
Plain-English Tests in YAML
Steps and assertions are written as readable English inside a YAML file, which keeps the test automation platform close to your codebase. Anyone on the team can open a test, read what it checks, and suggest a change in a pull request. Interactive runs in the editor stay free, so iterating on wording costs nothing.
Self-Healing Locators
When the interface changes mid-run, Momentic looks for the control again instead of failing on a stale selector. Permanent healing then writes a proposed edit to the test file, which you review as a diff before applying. In practice, self-healing tests cut the maintenance work that usually eats a QA budget.
AI Failure Triage and Classification
Every failed run can be sorted into one of three buckets: a real application bug, test flakiness, or an environment issue. Triage goes further and investigates the cause, then proposes an eligible repair. This is the feature that decides whether your CI signal is trusted or ignored.
Mo, the AI QA Agent
Mo is a separate product from the YAML framework. You give it a prompt or a URL, and it bug-bashes the app end to end, returning reproduction steps, logs, and a video replay for each bug. It suits exploratory passes before a release, when nobody has written a test for the flow yet.
Mobile App Testing on Virtual Devices
Android emulators and iOS simulators run the same authoring model and test files as web. The pay-as-you-go plan includes five Android emulators, five iOS simulators, and five phone numbers for SMS and OTP checks. Physical devices aren't supported, so a bug that only appears on real hardware can still reach users.
CLI, CI, and MCP Integration
The CLI runs web and mobile suites from a terminal or a CI job, and its exit code works as a merge gate. The MCP server goes one step further: a coding agent in your editor can create, edit, and run a test in a live browser session, then save the YAML next to the code it verified. An API with read-only analytics endpoints returns completed runs for your own dashboards.
Pros and cons
Pros
- Test files live in your repository as YAML, so they get reviewed and versioned like code instead of sitting inside a vendor recorder.
- Pricing is usage-based with no per-seat fee, which keeps cost flat as reviewers and stakeholders get access.
- Mobile coverage includes virtual devices plus disposable inboxes and phone numbers, so full sign-up flows can be tested end to end.
- The MCP server lets coding agents verify their own changes, which shortens the loop between a diff and evidence that it works.
Cons
- Credits are hard to forecast. A single triage run costs 500 credits, so a busy month of AI features can outweigh the 10,000 included credits.
- No physical device testing means hardware-specific bugs on real phones stay invisible to the suite.
- The free plan stops hard at 2,000 credits and keeps results for 30 days, which limits long-term trend analysis on small teams.
Frequently asked questions
Momentic automates end-to-end checks of web and mobile apps. Teams use it to confirm that sign-up, checkout, and other critical flows still work after a code change, and to get evidence before a merge or deploy.
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