AI-Driven QA & Testing

Automate app testing with AI agents.

AI-native teams need verification that keeps up with local and cloud agents. We integrate AI QA agents into your delivery flow for regression checks, exploratory QA, and release validation. Your team owns the harness, with documentation and training to run and extend it.

Trusted by 100+ Enterprise clients

Why test with Callstack

AI QA built around your stack.

We wire AI QA into local workflows, pull requests, CI, and hosted or on-prem environments. Teams catch regressions, accessibility gaps, and release risks without slowing implementation down.

  • Run it locally or in the cloud.

    We configure QA agents to run in your local workflows, CI, and hosted or on-prem environments.

  • Debug issues with better instrumentation.

    Access to the UI tree, native profilers, and visual diffs makes issues easier to investigate.

  • Get it into the stack faster.

    Setup is lightweight and it works with any framework that runs on device.

Services

Validate every change before release.

  • Test Automation

  • Product Validation

  • QA Infrastructure

AI-Driven QA & Testing

Put an AI QA agent in your flow.

Tell us where testing slows your team down today. We'll come back with a plan to wire the QA agent into your delivery flow and what to prove out first.

Scope → Build → Scale

Design QA that keeps delivery moving.

  • Scope

    We select a product workflow, define where agents act, and agree the controls and success measures.

    • Workflow and owners defined
    • Baseline and controls agreed
    • Token budgets confirmed
  • Build

    We connect context, agents, and verification to your tools, then run the workflow on your product backlog.

    • Running on your product backlog
    • Speed and quality measured
    • Business impact validated
  • Scale

    We document the workflow, transfer ownership, and extend it across teams and products based on results.

    • Your team owns the workflow
    • Expand based on results
    • Full knowledge handover
Industry runs on our tooling
50M+
OSS downloads / month
100+
Enterprise projects delivered
React Foundation Founding Member
300+ commits to React Native

Expensify uses agent-device for bug evidence. Its usage story covers collecting evidence from mobile apps and profiling.

~6x
Faster prototyping
60+
Components mapped with full coverage
3.7×
Lower task cost vs Opus 5.5
Testing Library

Testing utilities in our open-source toolkit for checking React Native behavior.

10 years of React Native → Now in your AI stack

Put an AI QA agent in your flow.

Tell us where testing slows your team down today. We'll come back with a plan to wire the QA agent into your delivery flow and what to prove out first.

Open Source

Build with our open-source tools.

We open-source the tools behind our delivery model.
Use them, fork them, or let us run them for you.

Agent Device

CLI to control iOS and Android devices for AI agents

980.4K downloads/mo

React Native Testing Library

Simple and complete React Native testing utilities that encourage good testing practices

18.2M downloads/mo

Reassure

Performance testing companion for React and React Native

1.5K stars

React Native Harness

Harness brings Jest-style tests to real native environments so you can test TurboModules like you would test your React Native app: with JavaScript.

179.7K downloads/mo

Rozenite

Plug-and-play panels for React Native DevTools. Install, enable, and start debugging in minutes.

959.8K downloads/mo

Skill Gym

Prove your agent skills work before you ship them

1.6K downloads/mo

React Native Evals

A benchmark suite for evaluating how coding models solve real React Native tasks

111 stars

Insights

Worth your time, by engineers.

How AI Agents Can Cut Manual QA by 30% — cover

Oct 30Article

How AI Agents Can Cut Manual QA by 30%

Two days waiting for QA can turn a small fix into another round of rebasing and context switching. See how a workflow using AI agents could cut manual QA effort by 30% across mobile, web, and TV, and learn how to validate the gains.

Give QA Agents the Controls They Need With Appduct — cover

Oct 20Article

Give QA Agents the Controls They Need With Appduct

Appduct lets AI QA agents call functions registered by your team inside a running app. This article illustrates how an adjustable app clock and a simulated invitation event can prepare conditions for UI checks.

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Oct 13Article

Agentic Mobile Testing With e2e and agent-device

TesterArmy's e2e uses agent-device to drive mobile tests on iOS and Android. This article walks through goal-based actions, deterministic checks, the mobile engine, and replay caching, then shows how to initialize a test setup. Cached agent.act steps skip model calls; agent.assert continues to evaluate the current screen.

Who Tests AI-Written Code? Inside TesterArmy With Szymon Rybczak — cover

Oct 12Podcast

Who Tests AI-Written Code? Inside TesterArmy With Szymon Rybczak

Szymon Rybczak explains how TesterArmy tests web and mobile apps with AI agents, creates test plans for pull requests, and fits into QA workflows.

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Oct 7Talk

Automating Mobile QA with Cloud Agents

Michał Pierzchała shows how cloud-based QA agents can test real iOS and Android user flows and bring screenshots, recordings, and logs into pull requests.

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Oct 2Article

Introducing Mobile Dev: full mobile dev tooling right in your Codex app

Mobile Dev brings live device previews, annotations, logs, and performance profiling into Codex. Explore the initial preview for iOS and Android development, with built-in agent-device support.

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Sep 17Article

Exploring Jev for AI-Driven QA with agent-device

Jev is a model from TypeSafe that chooses between predefined options instead of generating text. We paired it with agent-device to explore what that approach could mean for AI-driven QA: reading app state, selecting actions, and checking the result. We walk through our proof of concept, how the two tools work together, and a recorded run that took 14 seconds and cost $0.0023 in model inference.

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Aug 4Article

Automating Mobile QA With Cloud Agents

Code review and green CI checks do not prove a mobile app still works. Learn how cloud agents, agent-device, and runtime evidence can verify app behavior before merge.