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Aleksandra Desmurs-Linczewska

Software Engineer @ Callstack

What I love most about Callstack is the constant opportunity to grow.

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If you're focused on development, Callstack will support and challenge you.

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Artificial intelligence is changing how we build and maintain React and React Native apps—from code generation to testing. Find out how AI-powered tools improve your development process and help create smarter cross-platform experiences.

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Efficient On-Device LLMs in React Native Done Right

Artur Morys-Magiera will cover efficient on-device LLMs in React Native, including runtimes, model selection, quantization, and platform constraints.

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On-Device AI After WWDC: What Changed for React Native

Mike Grabowski will explain what changed for system-provided on-device AI after WWDC and what React Native developers can build with it.

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Beyond Coding Agents: Making ADLC Work Across Platforms

Mike Grabowski will explain how to close the full agentic development lifecycle across mobile, web, and native platforms.

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Building the React Native Software Factory

Join us at React Foundation Meetup London on November 11 to explore how AI agents build and debug React Native apps, from one terminal to the cloud.

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Building a Software Factory: Write Specs an Agent Can Build From

Learn how to research requirements, resolve open decisions, and write testable specs that AI coding agents can implement without the planning conversation.

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Large-Scale Migrations With Coding Agents: Planning, Verification, and Rollback

Plan codebase migrations with coding agents using reviewable requirements, verification checks, staged rollouts, and defined rollback criteria.

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Quantization Impact on LLM Quality: A Case Study of Apex

Artur Morys-Magiera and Lech Kalinowski share findings from 344 benchmark runs with Apex, our Gemma-based LLM, examining the trade-offs between model size, decode speed, and quality.

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Conversational Banking: From Customer Questions to Authorized Actions

Explore conversational banking architecture through a card-dispute example, covering tool access, authorization, execution, observability, and human handoff.

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Building a Software Factory: The Night My Agents Waited for Me

Learn how permissions, review limits, and missing product decisions stalled two overnight coding agent runs, and how their maintainer revised the workflow.

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Your AI Coding Agent Still Needs an Architecture

Use explicit contracts, behavior tests, and dependency checks to guide AI coding agents and review their changes through a TypeScript favorites example.

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From Design to Shipped: A Modern App Development Meetup

Join Callstack, JetBrains, and Expo in Amsterdam on October 22 for talks on AI agents, UI development, and verification across web and mobile.

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Expert EngineeringDevTools

Building Storybook Connect for JetBrains Twice as Fast With AI

2×: Estimated AI-assisted delivery speedup

...

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Integrating AI into your React Native workflow?

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

2×Estimated AI-assisted delivery speedupJetBrains
25Working days from kickoff to mergeJetBrains
1Plugin across three frameworksJetBrains
10min from code change to mini-app releaseTeamworks
multi-dailystaging deployments instead of weekly releasesTeamworks
7mini-apps supported in one modular mobile platformTeamworks
2CI/CD lanes for mini-app and host-app distributionTeamworks
2xgrowth in mobile user base during the migration periodAutoZone
4.2 -> 4.7app rating increase after migrating to React NativeAutoZone
0missed releases during the transition to React NativeAutoZone
33%fewer re-renders across most featuresQuestrade
18%faster time-to-interactiveQuestrade
-28%CPU usage in critical trading flowsQuestrade
78%bundle size reduction (from 50 MB to 11 MB)Dream11
30%faster component mount time after render optimizationDream11
60%faster initial load time enabled by switching to HermesDream11
5xfaster message sending timeExpensify
4.5xfaster search screen loading timeExpensify
#1SEO rank, recovering from 3-9AutoZone
260kBless in blocking JS payloadAutoZone
2–5xfaster feedback loopAutoZone
2.8xincrease in knowledge over 8 weeks (25% → 71% assessment scores)Hello Fresh
15developers trained across web and native backgroundsHello Fresh
86%of devs self-rated their knowledge as 3/5 or higher after training (up from 0%)Hello Fresh
130%increase in users post-upgrade7cups
63%adoption rate; majority of attendees registered in the appReact Universe App
67%of attendees connected through QR badge sharingReact Universe App
45%created personalized badges to showcase identity and goalsReact Universe App
49%of attendees onboarded before day one, arriving ready to networkReact Universe App

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