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9/17/2026

Online

Agent Conf

Date

Thursday, September 17, 2026

Time

Location

Warsaw | Poland

Online

Agent Conf

Join 500+ engineers in Warsaw Sept 17-18 2026 for Agent Conf. Learn agentic development, orchestration, and AI-driven workflows.

Date

17 September 2026

-

18 September 2026

Time

Location

Warsaw | Poland

Online

Agent Conf

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Organizer

Organizer

Presented

Callstack

@

Callstack

Speakers

Speakers

Featuring

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The way we build software is fundamentally changing. As developers increasingly build, orchestrate, and rely on AI agents, we need a physical space to figure out this new era of development together. That is exactly what Agent Conf 2026 is designed to be.

Originally a beloved React conference in the Austrian Alps, we are opening a new chapter. We are moving the event to Warsaw and shifting our focus to exactly what our name implies: AI Agents.

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Integrating AI into your React Native workflow?

We help teams leverage AI to accelerate development and deliver smarter user experiences.

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Agent Conf

Join 500+ engineers in Warsaw Sept 17-18 2026 for Agent Conf. Learn agentic development, orchestration, and AI-driven workflows.

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Insights

Learn more about AI

Here's everything we published recently on this topic.

How We Optimized Agent Device for Mobile App Automation

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Agents Commander: A Lightweight Interface for Multi-Agent CLI Workflows

Manage and connect multiple AI agents in a CLI with a simple communication protocol.

Announcing Codex Plugins for React Native Development

How Codex plugins work, why they're useful for React Native development, and two plugins we built for building and testing React Native apps.

RAG Is Dead. Long Live Context Engineering for LLM Systems

When should you skip RAG? Learn how structured context and direct LLM APIs can replace retrieval pipelines in many systems.

A Practical Guide to LLM Model Naming Conventions

Learn how to read LLM naming conventions and choose the right model for your hardware. Discover what Q4, INT8, GPTQ, and GGUF mean and why models appear in multiple variants.

Announcing React Native Evals

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Agent Device, AI workflows, and mobile testing in practice

A discussion on Agent Device, AI-driven workflows, and testing mobile apps using simulators and accessibility data.

React Native Evals: Measuring AI Code Quality in Practice

React Native Evals introduces a data-driven way to measure how AI coding models perform on real React Native development tasks.

The Safe Detonation Chamber: Building AI You Can Actually Ship

How to design production AI systems using Vercel AI SDK, Workflows, and Sandbox , covering vendor lock‑in, long‑running workflows, and secure code execution.

Building v0 iOS and Fixing React Native Along the Way

A technical look at building v0 mobile with React Native and Expo, covering iOS-first decisions, native modules, and fixes pushed to React Native core. Featuring Fernando Rojo, Szymon Rybczak, and Oskar Kwaśniewski.

Building a Custom AI Assistant for Your Business

Learn what it takes to build a custom AI-powered chatbot for your company, including the challenges, solutions, performance, and security considerations.

The Hard Way vs. The React Native AI SDK Way: Stop Writing Custom Modules for Every Model

Learn how React Native AI uses a unified provider model to switch between cloud and on-device LLMs without rewriting application logic, enabling reliable AI experiences online and offline.

Build Smarter Apps: Tool Calling & AI Orchestration Explained

Learn how on-device models in React Native can call tools, interact with external APIs, and return structured outputs you can use directly in application logic.

MLC LLM + React Native: On-Device AI Without the Pain

Learn how to run third-party on-device LLMs in React Native using MLC LLM. Choose your models, run them efficiently across platforms, and keep a unified JavaScript API with React Native AI.

February 24, 2026

Intelligent Fallbacks with Apple Intelligence in React Native

Learn how to use Apple’s built-in Foundation Models in React Native apps, reduce memory usage, and enable fast, fully on-device AI with React Native AI Apple.

February 10, 2026

What Is the React Native AI SDK? A Complete Intro & Quickstart

Learn why on-device AI matters for React Native apps, how local LLMs behave offline, and what problems React Native AI is designed to solve from day one.

January 29, 2026

Implementing an Android TurboModule with Kotlin

Learn how to implement a React Native TurboModule on Android, from the TypeScript spec and Codegen to the Kotlin implementation and package registration.

January 19, 2026

Working with Different Threads in Swift TurboModules

Learn how JavaScript, native module, background, and main threads interact in React Native TurboModules, and how to use GCD queues to run async work safely in Swift.

January 9, 2026

How to Add Type-Safe Constants to Swift TurboModules

Learn how to expose typed, immutable constants from a Swift TurboModule using Codegen, and get full end-to-end type safety between native and JavaScript.

December 30, 2025

Adding Event Emitters to Your TurboModule in Swift

Learn how to emit native events from a Swift TurboModule and subscribe to them in JavaScript, including proper memory management and Codegen integration.

December 22, 2025

Writing Your First TurboModule in Swift

Learn how to build a fully working TurboModule in Swift, integrate it with Codegen, and bridge it through Objective‑C inside an Expo app.

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AI

We can help you move
it forward!

At Callstack, we work with companies big and small, pushing React Native everyday.

Check our offer

On-device AI

Run AI models directly on iOS and Android for privacy-first experiences with reliable performance across real devices.

AI Knowledge Integration

Connect AI to your product’s knowledge so answers stay accurate, up to date, and backed by the right sources with proper access control.

Generative AI App Development

Build and ship production-ready AI features across iOS, Android, and Web with reliable UX, safety controls, and observability.

AI Vibe Coding Cleanup

Turn AI-generated code from tools like Cursor, Claude Code, Codex, or Replit into production-ready software by tightening structure, validating safety, and making it stable under real-world usage.