Detected ON A FEATURE BRANCH
New-device 2FA prompt skipped
At a consumer fintech app, a login routing change bypassed the new-device verification step.
Impact
A security checkpoint was silently skipped.
Momentic
Mo is an AI QA engineer that tests your app end to end. Verify critical flows and find bugs from a prompt.
Tests created 77,813
Test runs executed 70,607,819
Changes verified 339,166
PRs verified 80,290
Auto-heals 8,932,104
Bugs caught 117,010
Tests created 77,813
Test runs executed 70,607,819
Changes verified 339,166
PRs verified 80,290
Auto-heals 8,932,104
Bugs caught 117,010
Tests created 77,813
Test runs executed 70,607,819
Changes verified 339,166
PRs verified 80,290
Auto-heals 8,932,104
Bugs caught 117,010
Trusted in production by teams shipping every day.
"Our team's experience with Momentic has been great. Setting up tests is simple and the developer experience has been fantastic."
Erdem
Head of Developer Experience, Notion
"Having E2E QA be part of the development process, run this fast (6.3x parallel), and at this scale (for every single pull request) is a true dream. Seriously, a green CI now has a measurable impact on my sleep quality."
Glavin
Founding AI Engineer, Coframe
"Momentic makes it 3x faster for our team to write and maintain end-to-end tests. Startups win by shipping faster and better, and Momentic enabled us to do exactly that."
"I just ran our first automated eval across 110 prompts. This would have taken well over an hour manually — I kicked it off in 5 seconds and it was done in 14 minutes. HUGE for us."
Mike
Engineering Manager, Runway
"I love working with Momentic. Especially after having years of previous experience in QA, it feels like riding a bike, except the bike is a supercharged electric one!"
Anna
Senior Productivity Engineer, Webflow
Code moves faster. Verification has to keep up.
Coding agents have made it dramatically faster to build software. The bottleneck is now knowing it works. Verification belongs in the agent loop. Agents need evidence from the app itself to verify that their changes deliver the intended behavior.
Write the user flows you need to verify. Momentic runs the tests against your app. Reuse successful AI actions and review proposed repairs as the app changes.
1 of 5
01
Knows how your product works
Add terminology, expected behavior, and test guidance to the Knowledge base. AI-assisted steps look up relevant entries as they run.
PRODUCT CONTEXT AT EACH AI STEP
02
Keep tests working as the UI changes
Momentic finds controls again when the UI changes during a run. Permanent healing proposes a test-file repair for you to review.
RUNTIME RECOVERY AND REVIEWED REPAIRS
03
Verify changes with your coding agent
Give your coding agent the changed flow. It can use MCP to author a test, check it in a live session, and save the YAML alongside your code.
TESTS REVIEWED WITH THE CODE
04
See why a test failed
Inspect the failing step, screenshots, and traces. Classify failures as application bugs, test flakiness, or environment issues.
STEP-LEVEL FAILURE EVIDENCE
05
Verify before you merge or deploy
Run the CLI in your CI job. Use its exit code as a required check before merging or deploying.
CLI EXIT CODES FOR CI CHECKS
Verification from your editor to CI.
Write steps and assertions in plain-English YAML.
Review and version the tests in your repository.
01 / author
Describe a user flow and its expected result in plain English. Keep the steps and assertions in YAML files your team and coding agent can review.
02 / run
Use the CLI to check the app you're changing. Run the same tests in CI before the next merge or deploy.
03 / triage
See which step failed and inspect its screenshots and traces. AI triage investigates the cause and proposes a test repair for you to review.
04 / heal
Momentic finds controls again when the UI changes. Permanent healing proposes test-file edits for review. Apply the diff and rerun to check the result.
Describe your product’s terminology, business rules, and expected behavior in the Knowledge base. Agents use that context to choose actions and check outcomes.
Give agents the product rules they need to check a flow.
Maps screens and user flows seen during test runs.
Review session suggestions before adding them to the Knowledge base.
Loved by engineering teams.
“Momentic gave us a fast and reliable way to validate Poe.com's AI responses, even when they weren't deterministic.”
Momoko F. Head of Product Operations, Quora
30 min
daily test execution, down from 7 hours
500+
manual test cases replaced
100%
critical tests created in one month
Examples of application failures found by Momentic, with the affected flow and its impact.
117,010 before production
Detected ON A FEATURE BRANCH
At a consumer fintech app, a login routing change bypassed the new-device verification step.
Impact
A security checkpoint was silently skipped.
Detected BEFORE RELEASE
On mobile, keyboard auto-dismissed when creating a new page, breaking content flow.
Impact
Silent friction in the core creation flow.
Detected IN STAGING
A dependency update on a large rideshare app caused the live ETA subscription to silently fail after a ride was booked.
Impact
Riders never saw an arrival estimate.
Detected BEFORE DEPLOY
Incorrect display and logic in the calendar scheduling view.
Impact
Wrong availability shown to users.
Detected IN CI
At a leading wellness app, an iOS lifecycle change reset the active sleep timer the moment the phone locked.
Impact
Audio sessions ended mid-playback overnight.
Detected 8 MIN BEFORE DEPLOY
At a top food-delivery marketplace, a payment-form refactor stopped pre-filling saved cards, forcing manual re-entry to pay.
Impact
Returning users abandoned checkout on mobile.
Detected IN A NIGHTLY RUN
At a popular online retail marketplace, moving to page two reset every active category and price filter.
Impact
Shoppers lost their refined search results.
Detected BEFORE MERGE
At a large online travel marketplace, a validation change rejected multi-segment promo codes on the last checkout step.
Impact
Discounts failed and carts were abandoned.
Detected PRE-RELEASE
At a major streaming platform, a locale-detection bug auto-selected the wrong subtitle track on initial playback.
Impact
Wrong-language captions at session start.
Detected BEFORE RELEASE
12 bugs caught in one day. Exposed legacy API issues that would have shipped undetected.
Impact
Risked shipping regressions into major release.
Mo is out of beta. Start a session from your coding agent, the app, a PR comment, or the qa CLI. A separate agent reproduces each functional bug before Mo reports it.
We graded Mo, Codex, Claude Code, and Devin on 20 areas of Gitea, Metabase, Twenty, and Saleor. With 60 minutes per area, Mo found about 269 labeled bugs. The next best agent found about 86.