Skip, a new reactive framework from Meta, simplifies building real-time applications. It sits between backend services and clients, providing a declarative, efficient way to manage state and data updates. Using collections and mappers, Skip creates a dependency graph, automatically propagating changes from the database to the UI. While written in C, it offers JavaScript APIs for easier adoption. The framework is production-ready, used internally at Meta, and aims to streamline development by handling complex data relationships and updates automatically. This segment clarifies Skip's status as a production-ready framework used internally at Meta, contrasting it with typical hobby projects. It introduces the core concepts of Skip's runtime: collections and mappers, explaining how they facilitate data management and real-time updates. The explanation sets the stage for understanding the subsequent code examples. This segment delves into Skip's architecture, emphasizing its unique features such as being built upon a custom programming language and C, and its integration with various services and databases. It also highlights the sponsor, Unkey, a tool that simplifies API development, which is relevant given Skip's focus on streamlining backend processes. This segment details a three-tier architecture (web app, reactive service, and web service) and explains how updates are handled. The speaker describes how changes in the database trigger updates through the reactive service, ensuring the client receives real-time updates without constant refetching. The explanation highlights the role of the reactive service as a "skip layer" that efficiently manages updates between the backend and frontend, contrasting it with traditional approaches that involve numerous service calls and cache invalidations. This provides a clear understanding of a novel approach to real-time data updates. This segment showcases Skip's real-time update mechanism through a practical demonstration. The presenter executes code that updates data in a database and shows how those changes instantly propagate to connected clients without requiring explicit update logic, highlighting Skip's efficiency and ease of use in handling real-time data synchronization. How does Skip's reactive model compare to existing solutions like React Query, and what are the potential advantages and disadvantages of its approach? Given Skip's focus on simplifying state management and reducing boilerplate code, what are the potential implications for developer productivity and the overall maintainability of large-scale applications? Considering Skip's architecture and its reliance on a reactive runtime, what are the potential scalability challenges and how might these be addressed in production environments? Skip, a reactive framework described as "React for the backend," primarily uses its own custom language along with C ( ). While initially conceived as a new programming language ( ), it now allows developers to write code in JavaScript, lowering the adoption barrier ( ). Its integration with existing technologies isn't explicitly detailed in the provided context, but its creator's involvement with React (through Recoil) and the framework's description as a potential "sequel to GraphQL" ( ) suggest potential synergies and influences. Further information is needed to fully describe its compatibility with other languages and frameworks. I was unable to find five specific questions with their answer timestamps in the provided context. However, I can offer some insights based on the retrieved information: The context discusses various topics, including: React Query and Data Invalidation: The context mentions how React Query handles data invalidation after updates, contrasting it with the approach used in the discussed project. ( ) Real-time Data Updates: The context highlights the challenges of maintaining up-to-date information in real-time, especially when user data (username, active status, group memberships) changes. It mentions a solution using an "active user mapper" to filter active users in a group. ( ) Skip Runtime: The context introduces the Skip runtime, explaining its core concepts of "Collections" (sources of data) and "Mappers" (functions that create new collections from existing ones). ( ) Project Excitement and Limitations: The context expresses excitement for a project but also acknowledges that it's likely not suitable for widespread use yet, describing it as refined for production workloads but new and specific in its intended use. ( ) Please let me know if you have any other question. asdfasdfasasd a lot going on inside of it. When you set up APIs like this yourself, you're going to end up missing a ton of things from how you handle mu Skip is a production-ready framework used internally at Meta. It's not a hobby project; it's a robust, real-world system. Skip's runtime centers around collections and mappers. Collections manage data. Mappers enable real-time data updates. The framework is designed for efficient data handling. Subsequent examples will illustrate its functionality. The text provides foundational knowledge for understanding the code. The core concepts are crucial for comprehending the following sections.