Run automated checks against code written by engineers and agents, so QA keeps pace with faster implementation.
Agentic Infrastructure
Infrastructure built for AI-native delivery
Agentic development only works when the infrastructure around it can keep up. The right delivery stack turns more agent output into faster engineering cycles and smoother releases.
When delivery becomes the bottleneck
Turn AI output into
faster product delivery.
Agents increase implementation speed, but the bottleneck does not stay there for long. It moves into the delivery systems that now have to keep pace with more code and more change.
Review AI-written code faster.
A QA agent checks output on real devices and in delivery workflows, so faster implementation does not turn into slower releases.
Own your delivery infrastructure.
Self-hosted CI, device, and release infrastructure stay inside your environment, with agents handling the maintenance work around them.
Open source at the core.
The stack builds on tooling your team can audit, extend, and keep using as needs evolve.
Make delivery faster, and releases smoother.
AI-Driven QA + Testing
Keep QA ahead of agentic delivery
AI-native teams need verification that keeps up with local and cloud agents. We provide an AI QA agent that checks work in real time on devices, locally and on pull requests, so regression checks, exploratory QA, and release validation become part of the delivery flow.
Use Cases
AI-Native Test Automation
Automated Accessibility Audits for EEA
Check interfaces for accessibility issues during delivery, helping teams catch compliance gaps before release.
Cross-Platform Code Verification
Validate behavior across platforms from one QA flow, so shared code does not hide platform-specific issues.
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.
Release Validation
Run final checks on critical journeys, builds, and environments before rollout starts.
Regression Prevention
Catch regressions in core flows with validation wired into pull requests, CI, and pre-release checks.
On-Prem & Cloud QA Execution
Run the same QA agent inside your own infrastructure or in hosted environments, depending on policy and scale.
Custom Agents
Put agents on recurring engineering work.
Teams get more from AI when agents take on repeatable engineering work. We set up internal agents and workflows so work can run in parallel and continue after a developer session ends.
Use Cases
Code Review Agents
Check PRs for regressions, missing tests, weak patterns, and team standards before human review.
Upgrade Agents
Run framework, dependency, and React Native upgrade work with repeatable checks and migration steps.
Maintenance Agents
Handle routine cleanup, dependency updates, deprecated APIs, and repo hygiene before they block delivery.
Documentation Agents
Keep technical docs, changelogs, release notes, and implementation notes aligned with code changes.
CI/CD Automation Agents
Automate build checks, pipeline fixes, test reruns, release gates, and rollout steps across your delivery workflow.
Internal Tool Agents
Connect agents to tickets, repos, CI, Slack, Linear/Jira, and internal systems with scoped access and clear rules.
Build agents for your delivery workflow
Show us your most repetitive workflows. We will build custom agents that handle the heavy lifting while your team focuses on high-impact work.
Keep work moving in parallel
Cut the busywork around delivery
Turn team habits into tools
Grow output without hiring linearly
Self-Hosted CI/CD Infrastructure
Run delivery infrastructure on your terms.
Hosted delivery infrastructure does not fit every cost, security, or control requirement. Our self-hosted CI/CD, OTA, and agent execution infrastructure lets teams run delivery on their own terms and keep more of the stack under their control.
Use Cases
Release Automation
Automate build, signing, testing, and rollout steps so releases need less manual coordination.
CI/CD Modernization
Replace brittle pipelines with faster, more observable workflows built for current delivery demands.
Build & Test Acceleration
Shorten feedback loops with better caching, parallelization, and runners tuned to your workloads.
OTA Rollout Management
Ship changes and bug fixes between App Store releases through over-the-air updates.
Release Monitoring & Alerting
Monitor releases and trigger alerts when rollout, build, or post-release signals show risk.
Deployment Health Visibility
Give teams a live view of pipeline status, release progress, and post-release health across environments.
Delivery Cost Optimization
Reduce spend on hosted runners, device clouds, and release tooling by moving the right parts of the stack in-house.
Design → Build → Extend
Infrastructure for AI-native mobile delivery.
Design
We map the mobile delivery stack, controls, and cost. You get the plan before migration starts.
See hosted vs self-hosted economics
Find the gaps in the delivery stack
1 week
Build
We deploy QA, CI/CD, OTA, and telemetry. The mobile delivery stack runs in your environment from day one.
QA agent, OTA, and CI/CD included
Telemetry and release signals included
2-4 WEEKS
Extend
Your team owns the stack long term. We stay on to extend it as delivery needs grow.
Extend the stack beyond the first rollout
Add new agents as needs change
AS NEEDED
Open Source
Want to build it on your own?
We open-source the tools behind our delivery model.
Use them, fork them, or let us run them for you.
Insights
Worth your time, by engineers.
No items found.
No items found.
Agent Device: iOS & Android Automation for AI Agents
This article introduces agent-device, a new CLI for automating mobile UI workflows with AI agents. It explains what the tool is, how it helps developers with token-efficient snapshots and repeatable interactions, and why Callstack is building it to bridge exploratory agent behavior with deterministic replay across iOS and Android.
Agent React DevTools: Give AI Agents Access to React Internals
Agent React DevTools gives AI agents direct access to the React component tree, state, and performance data. Instead of relying only on UI snapshots, agents can now inspect what happens inside React and debug issues with proper context. This enables more reliable QA, better performance analysis, and deeper automation for React and React Native apps.
Introducing Rozenite: A Plugin Framework for React Native DevTools
Rozenite is a new open-source plugin framework for React Native DevTools, designed to help teams build custom debugging panels with ease. It supports TypeScript, React, React Native, and integrates with Expo, CLI, and Rock. With device-scoped views and isomorphic communication, Rozenite empowers developers to streamline observability and scale tooling fast.
No items found.