TrustLoop bug capture
Capture mobile issues from real usage and turn them into structured reports with repro steps, screenshots, notes, and candidate regression tests.
Testes móveis autônomos para software criado com AI e cobertura de regressão reutilizável
QualGent is an autonomous mobile test automation platform for AI-built software. It is positioned as a closed-loop QA system that connects bug capture, verification, and release readiness so teams can turn real app behavior into reusable tests and clearer ship decisions.
The product is organized around three parts: TrustLoop for shift-right bug capture, DevLoop for shift-left device-aware testing, and Enterprise for routing tests to AI or human verifiers. The stated goal is to reduce dropped context, convert bugs into structured verification assets, and help teams validate mobile apps without relying only on manual QA or brittle scripts.
Capture mobile issues from real usage and turn them into structured reports with repro steps, screenshots, notes, and candidate regression tests.
Let AI agents tap, swipe, inspect, and validate real app flows on devices and simulators before code reaches QA.
Route each test to AI agents, human testers, real devices, simulators, or a combination, then bring results back into one release-readiness view.
Support MCP-based workflows for coding agents such as Claude Code, Cursor, and Copilot Workspace, along with other MCP agents.
Preserve context across the QA loop by converting bug reports into repro paths and regression candidates that can be reused later.
Track what happened during a session, including flow, screen, device, OS, region, notes, and other captured context.
Use TrustLoop when a team member, beta user, or tester hits a mobile issue in a real app session and you want a reproducible report instead of a vague message thread.
Use DevLoop when coding agents are building or modifying app flows and need to verify behavior on real devices or simulators before code moves to QA.
Use Enterprise when different tests need different kinds of review, such as AI for repeatable checks and humans for exploratory or ambiguous flows.
Use the platform when bug history should become future coverage, so a captured issue can later be reused as a regression test in the development loop.
Use QualGent when a team wants one release-readiness view that brings together AI results, human review, and existing issue workflows.
QualGent is presented as an autonomous mobile test automation platform for AI-built software. It combines TrustLoop for shift-right bug capture, DevLoop for shift-left device-aware verification, and Enterprise for routing tests across AI and human reviewers.
The site frames QualGent for founders, PMs, UX, QA, engineering leaders, engineers, and coding agents. TrustLoop is aimed at capturing real mobile issues, while DevLoop is aimed at helping coding agents verify app behavior before code reaches QA.
The homepage says DevLoop works through MCP with Claude Code, Cursor, Copilot Workspace, and other MCP agents. The Enterprise page also lists integrations with Jira, Linear, GitHub, GitLab, Slack, ClickUp, and CI/CD.
The pricing page did not load a pricing table and instead returned a 404 page. The site footer still links to Contact Sales, but no public plan details or prices were shown in the collected content.
The platform describes output such as structured bug reports, repro steps, regression tests, and a release-readiness view. TrustLoop can capture video, device, OS, region, screenshots, notes, and test cases from a session.
Os dados de tráfego são apenas para referência.
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