AI Services Market › Use cases › Software & DevOps
Software & DevOpsDone with custom-built or unnamed agent Nov 2, 2026
Catch bugs by exploring web and mobile apps with QA agents
Momentic's agents autonomously plan, explore and bug-bash user flows in web, iOS and Android apps for engineering teams. · Nov 2, 2026
- What They Did
- Mo is Momentic's AI QA agent. It runs autonomous sessions in the cloud, on web or hosted Android and iOS devices, with your org's MCP servers and secrets attached. Teams write flows in plain-English YAML and add product rules to a Knowledge base. The explore agent, run through the CLI, can produce bug reports with repro steps. Triage agents classify failures and propose repairs for a person to review. Tests can also gate CI.
- How It Went
- Momentic reports 117,010 bugs caught. Its examples include a skipped 2FA step and saved cards dropped at checkout. Customer figures include Quora's daily test run falling from 7 hours to 30 minutes. These are the vendor's own claims.
- Worth Knowing
- Auto-heal repairs and triage fixes arrive as proposed diffs that a person must review. Mo itself is in private beta, according to the changelog.
Try it yourself with custom-built or unnamed agent
Open my web app at [URL] and log in with the test account [test account details]. Explore the [user flow, e.g. signup and checkout] like a QA tester: try normal paths, then edge cases like empty fields, wrong input, and back-button use. Finish with a list of bugs, each with steps to reproduce, expected versus actual behavior, and a severity. Do not submit real payments or delete any data; pause and ask me first if a step would do that.
Do this with a skill.
These AI Services Market playbooks do this exact job.