Multi-platform TV development, AI solutions, and React Native best practices
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| | | | | | | | | Scale your TV presence without scaling your effort | | | | One codebase, five TV operating systems: How Zattoo unified their TV apps Zattoo went from months-long feature cycles to about a week by consolidating separate native codebases into a single React Native architecture powered by Vega. The team now ships with ~95% consistency across five TV operating systems without expanding headcount. Read the success story › | | | | | A better way to build multi-platform TV apps If you're maintaining separate codebases for Fire TV, Android TV, and Apple TV, there's a faster path. A monorepo architecture lets you share navigation, state management, business logic, and UI components while keeping OS-specific code isolated where it matters. Learn how › π‘The devices-agent-skills packages the three-step migration process into an interactive workflow. View on GitHub › | | | | | | | | | | |
| | | | | | | | | | OpenClaw on Amazon Lightsail gives you a self-hosted AI assistant that manages emails, browses the web, and organizes files with Amazon Bedrock built in. Connect it to WhatsApp, Discord, or Telegram and interact from anywhere. Get started › | | | | | | AI agents don't know where "fix this" ends and "don't touch that" begins. Kiro's property-aware approach makes that boundary explicit and testable before any code changes ship. Read the blog › | | | | | | Mobile World Congress showcased context-aware AI agents, highlighting the need to build for open standards like Model Context Protocol (MCP) and Agent-to-Agent (A2A) — not a single assistant. Read the full breakdown › | | | | | | | | | |
| | | | | | | | | | A look inside cross-device media integration Maintainer Bart walks through React Native Video's evolution, the challenges of building cross-device media players, and how to integrate the project to render media wherever your users are watching. Watch the video › | | | | | | | | | | Inside Klarna's React Native development Klarna's Principal Engineer Michael Duminy shares how they test with Storybook, manage visual regression at scale, and use AI tools to ship weekly releases across iOS, Android, and web — all from one codebase. Watch the video › | | | | | | | | | | | | | |
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