01
Define the goal
Describe what the user should be able to accomplish and state the required final outcome.
platform
/ agentic-testing
Agentic testing that keeps pace with every change.
Momentic AI agents can navigate dynamic flows, verify expected outcomes, repair tests when the interface changes, and help keep coverage aligned with the product.
Works across web, iOS, Android, local development, and CI.
Slack
#storefront-qa9 members
MomenticApp6:08 PM
Explore agent suggested 1 test on main
- checkout-with-promo-code: Created a new web checkout test that fills the cart, applies SAVE10 at checkout, and verifies the order total drops 10%. The sub-agent validated the flow end-to-end successfully.
Commit
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momentic ai explore
Agentic verification at production scale.
117,010 bugs caught before deploy
70M+
Test runs executed
8.9M+
Steps auto-healed
339k+
Changes verified
80k+
PRs verified
How agentic testing works.
Use agentic behavior selectively for variable flows while keeping tightly controlled critical paths deterministic. Pair agentic steps with explicit assertions or postconditions.
02
Let the agent execute the flow
The agent reads the current application state, selects the necessary actions, handles changing interfaces, and works toward the stated goal.
03
Verify, cache, and maintain
Momentic checks the postcondition, stores the successful path for faster reruns, and re-resolves steps when the product changes.
Agentic testing capabilities.
Agentic testing capabilities for modern engineering teams. Use agents where variability creates maintenance overhead, and deterministic test steps where speed and exact control matter most.
Goal-based AI actions
Describe a high-level objective in natural language. The agent selects the actions required to complete it and stops when the specified outcome is reached.
Define the result. Let the agent handle the path.
Product-aware test generation
Enter context from your product documentation, guides, tickets, designs, and codebase so generated tests use the language, rules, and flows your team already understands.
Tests that understand how your product should work.
Tests from code changes
Use code changes and pull-request context to identify affected user journeys, surface coverage gaps, and propose new tests for the behavior that changed.
Keep test coverage moving with the codebase.
Self-healing test maintenance
Momentic can re-resolve the intended interaction and update the cached path instead of failing a still-valid user journey.
Fix intended UI changes. Flag real regressions.
Agent-assisted failure triage
Classify failures, inspect run context, reproduce the problem, and separate genuine product bugs from environment issues or outdated test behavior.
Spend less time asking why the test failed.
MCP and CI integration
Let coding agents author and run tests through MCP, then execute the resulting suite on every relevant commit, pull request, deployment, or scheduled run.
Connect code generation directly to product verification.
Agentic test results from teams shipping every day.
Use AI agents to expand coverage, automate dynamic user journeys, and reduce the testing work that slows down releases.
“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
Available across every platform.
Same authoring model. Same APIs. Same engineering-grade reliability.
Agentic testing, answered.
What is agentic testing?
Agentic testing uses AI agents to complete multiple parts of the software testing workflow. An agent can interpret a goal, interact with the application, verify the result, repair changing interactions, and help maintain coverage as the product evolves.
How is agentic testing different from traditional test automation?
Traditional test automation usually requires every interaction to be scripted ahead of time. Agentic testing begins with a goal and lets an AI agent determine the interactions needed based on the application's current state.
How is agentic testing different from AI-assisted testing?
AI-assisted testing typically helps with an individual task, such as writing a test step. Agentic testing can coordinate a sequence of actions toward a defined goal, react to application state, verify an outcome, and participate in later maintenance.
Should every test be fully agentic?
No. Critical flows that require maximum speed, repeatability, and exact assertions should remain step-based. Agentic actions are best for dynamic flows where the precise path varies because of user state, feature flags, A/B tests, or changing interfaces.
How does Momentic keep agentic tests trustworthy?
Agentic actions can use preconditions and postconditions, and teams can add explicit assertions after the action. This ensures that the test verifies the required outcome rather than merely trusting that the agent finished.
Can Momentic create tests from pull requests?
Momentic can use code-change context to identify affected user journeys, explore the application, and propose tests for uncovered behavior. Teams should review the proposed tests before they become release gates.
Can engineers review and edit agent-created tests?
Yes. Momentic tests are readable files stored with the project, allowing engineers to review, version, edit, and approve them through the same workflow used for other code changes.
Can agentic tests run in CI?
Yes. Agentic and step-based Momentic tests can run through the CLI in supported CI environments and can be connected to pull requests, commits, deployments, and scheduled suites.
Is agentic testing secure?
Momentic is SOC 2 Type 2 compliant, with SAML SSO, SCIM provisioning, audit logs, and additional controls available for Enterprise customers.
How is agentic testing priced?
Momentic uses credits based on executed test steps, including AI actions, auto-healing, and failure recovery. Pricing is usage-based rather than per seat, with Free, Pay-as-you-go, and Enterprise options.
Still have additional questions?
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