--- title: "AI-Driven QA & Testing" description: "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." url: https://www.callstack.com/capabilities/ai-driven-qa-testing updated: 2026-11-06T10:07:49.144Z --- # AI-Driven QA & Testing 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. _[Agentic Delivery](https://www.callstack.com/agentic-delivery) › 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. [Book consultation](https://www.callstack.com/contact) [Explore services](#services) Trusted by 100+ Enterprise clients Expensify · Ticketmaster · DirecTV · MLS · PWC · Evernote · AutoZone · MoMo · Dream11 · Rainbow · Futurewei · RIMAC · Hello Fresh · Haaretz · ForaTravel · CelcomDigi · Teamworks · Boats · Questrade · Dialogue 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 - [AI-Native Test Automation](https://www.callstack.com/services/quality-assurance): Run automated checks against code written by engineers and agents, so QA keeps pace with faster implementation. ### Product Validation - [AI-Generated Code Validation](https://www.callstack.com/services/ai-generated-code-validation): Review AI-written UI and logic before merge, so speed does not introduce regressions, edge-case failures, or bad implementation choices. - [Cross-Platform Code Verification](https://www.callstack.com/services/cross-platform-code-verification): Validate behavior across platforms from one QA flow, so shared code does not hide platform-specific issues. - [Accessibility Audits (EEA)](https://www.callstack.com/services/accessibility-audits-eea): Check interfaces for accessibility issues during delivery, helping teams catch compliance gaps before release. ### QA Infrastructure - [Real-Device Testing](https://www.callstack.com/services/real-device-testing): Test on physical devices, where performance, gestures, and native integrations behave differently than in simulators. - [On-Prem & Cloud QA Execution](https://www.callstack.com/services/on-prem-cloud-qa-execution): Run the same QA agent inside your own infrastructure or in hosted environments, depending on policy and scale. 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. [Add QA agent](https://www.callstack.com/contact) 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 · Contributing since 2016 - [Expensify uses agent-device for bug evidence. Its usage story covers collecting evidence from mobile apps and profiling.](https://agent-device.dev/) - [~6x Faster prototyping · 60+ Components mapped with full coverage · Figma · Claude · Server · Tailwind · Tokens · React · Cursor · ESLint](https://www.callstack.com/case-studies/engineering-ai-loops-for-a-cross-platform-design-system) - [3.7× Lower task cost vs Opus 5.5](https://apex.callstack.com) - [Testing Library · Testing utilities in our open-source toolkit for checking React Native behavior.](https://github.com/callstack/react-native-testing-library) Case studies ## What shipping at AI speed looks like ### [Migrating Questrade Edge Mobile to a Faster, More Scalable Architecture](https://www.callstack.com/case-studies/migrating-questrade-edge-mobile-to-a-faster-more-scalable-architecture) Expert Engineering · Finance **33%** fewer re-renders across most features ### [Building an Agentic SDLC for a Web Launch in Under One Month](https://www.callstack.com/case-studies/building-an-agentic-sdlc-for-a-web-launch-in-under-one-month) Agentic Delivery · Software Development **3x** estimated delivery acceleration ### [AI-Assisted Design-to-Code Delivery Across Web and Mobile](https://www.callstack.com/case-studies/engineering-ai-loops-for-a-cross-platform-design-system) Expert Engineering · Software Development **60+** components mapped with full Code Connect coverage ### [Enhancing Expensify app performance](https://www.callstack.com/case-studies/enhancing-applications-performance-for-expensify) Expert Engineering · Finance **5x** faster message sending time 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. [Add QA agent](https://www.callstack.com/contact) 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. [Check All Tools](https://www.callstack.com/open-source) - [Agent Device](https://agent-device.dev/): CLI to control iOS and Android devices for AI agents (980.4K downloads/mo) - [React Native Testing Library](https://github.com/callstack/react-native-testing-library): Simple and complete React Native testing utilities that encourage good testing practices (18.2M downloads/mo) - [Reassure](https://github.com/callstack/reassure): Performance testing companion for React and React Native (1.5K stars) - [React Native Harness](https://github.com/callstackincubator/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](https://github.com/callstackincubator/rozenite): Plug-and-play panels for React Native DevTools. Install, enable, and start debugging in minutes. (959.8K downloads/mo) - [Skill Gym](https://incubator.callstack.com/skillgym/): Prove your agent skills work before you ship them (1.6K downloads/mo) - [React Native Evals](https://github.com/callstackincubator/evals): A benchmark suite for evaluating how coding models solve real React Native tasks (111 stars) Insights ## Worth your time, by engineers. [Explore Insights](https://www.callstack.com/insights) - [How AI Agents Can Cut Manual QA by 30%](https://www.callstack.com/blog/how-ai-agents-can-cut-manual-qa-by-30) (Oct 30 · Article): 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](https://www.callstack.com/blog/give-qa-agents-the-controls-they-need-with-appduct) (Oct 20 · Article): 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. - [Agentic Mobile Testing With e2e and agent-device](https://www.callstack.com/blog/agentic-mobile-testing-with-e2e-and-agent-device) (Oct 13 · Article): 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](https://www.callstack.com/podcasts/who-tests-ai-written-code-inside-testerarmy-with-szymon-rybczak) (Oct 12 · Podcast): Szymon Rybczak explains how TesterArmy tests web and mobile apps with AI agents, creates test plans for pull requests, and fits into QA workflows. - [Automating Mobile QA with Cloud Agents](https://www.callstack.com/events/automating-mobile-qa-with-cloud-agents-2) (Oct 7 · Talk): 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. - [Introducing Mobile Dev: full mobile dev tooling right in your Codex app](https://www.callstack.com/blog/introducing-mobile-dev-full-mobile-dev-tooling-right-in-your-codex-app) (Oct 2 · Article): 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. - [Exploring Jev for AI-Driven QA with agent-device](https://www.callstack.com/blog/exploring-jev-for-mobile-qa-with-agent-device) (Sep 17 · Article): 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. - [Automating Mobile QA With Cloud Agents](https://www.callstack.com/blog/automating-mobile-qa-with-cloud-agents) (Aug 4 · Article): 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.