Agentic Delivery

Turn AI into better software delivery.

From redesigning development workflows to building custom agents, testing their output, and choosing the right models, we turn AI into a practical part of product delivery.

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Trusted by 100+ Enterprise clients

AI SDLC Advisory

Move from AI-assisted coding to agentic product delivery.

We help engineering organizations build a delivery system where agents move product work through the full SDLC, while people set direction, review critical decisions, and retain control. Start with one pilot team, prove the model, then scale what works.

AI SDLC Assessment & Roadmap
Agent Skills & Context Engineering
SDLC Automation
AI SDLC Advisory

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.

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.

Custom & Private Models

Use the right AI model, locally or in the cloud.

Standard hosted models do not fit every product or data environment. We deploy private and self-hosted models where teams need tighter control or models adapted to product-specific data and workflows.

Agentic Delivery

Bring us your engineering challenge.

Our engineers can join your team, take on a defined project, or help you adopt agents across development, testing, and release. Tell us what you're working on.

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Scope → Build → Scale

Build one delivery loop. Scale across teams.

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

React Foundation Founding Member

300+ commits to React Native

100+

Enterprise projects delivered

Industry runs on our tooling

50M+

OSS downloads / month

3.7×

Lower task cost vs Opus 5.5

I recommend them as a trusted tech partner for running complex projects.

Jin Chung

Co-Founder, CTO / Rainbow

Faster message sending time

ISO 27001 certified

Agentic delivery in practice

Helping teams build, test, and ship with agents.

Agentic DeliverySoftware Development
Building an Agentic SDLC for a Web Launch in Under One Month
3x
estimated delivery acceleration
Expert EngineeringSoftware Development
AI-Assisted Design-to-Code Delivery Across Web and Mobile
60+
components mapped with full Code Connect coverage

EXPERT ENGINEERING · AGENTIC DELIVERY

Put our expertise to work.

Our engineers can join your team, take on a defined project, or help you adopt agents across development, testing, and release. Tell us what you're working on.

Book consultation

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.

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Agent Device

CLI to control iOS and Android devices for AI agents

980.4K downloads/mo

Agent React DevTools

Gives AI agents access to React DevTools

251 stars

Agent Skills

Callstack’s best practices on React Native performance optimization, upgrading, CI workflows, and brownfield migrations

1.7K stars

Skill Gym

Prove your agent skills work before you ship them

1.6K downloads/mo

Insights

Worth your time, by engineers.

Explore Insights

Feb 17Article

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.

May 27Article

Introducing Apex: A Fast, Specialized Model for React Native

Today, we are introducing Apex, our first domain-specific coding model designed for React Native. Built on Gemma 4, Apex achieves frontier-level performance at a fraction of the cost of generalized models. It is optimized for the fast, agentic workflows our teams run daily, delivering up-to-date results with fewer tool calls.

Apr 14Article

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.

Jan 29Article

Announcing AI SDK Profiler for React Native

We introduced the AI SDK Profiler plugin for Rozenite DevTools. It captures OpenTelemetry spans emitted by the Vercel AI SDK, surfaces prompts, outputs, metadata, and latency, and works with any provider, on-device or cloud.

Jul 28Article

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.