Islands in web development are interactive components that are rendered on the server and hydrated separately. They offer fine-grain control over JavaScript, speed up page loading, and reduce JavaScript shipping. Applications of islands span across eCommerce, media sites, docs, and blogs, providing interactivity without excessive JavaScript. Nanostores enable state sharing among islands. Key takeaways include utilizing Nanostores for state management, exploring ASTRO and islands for development, and using client directives for JavaScript control.

My name is Mauro and I work for a company called Doubleloop in Italy. Today, I'm going to share my learning journey through puzzles and challenges related to React Server Components (RSC). RSC allows for server-side rendering and streaming of components. React flight, a protocol used to serialize and share rendering jobs, is a key feature of RSC. RSC can be used without a server, known as React Serverless Components. Using RSC, different types of content can be switched using the useState hook. RSC can be effectively used on a server by starting Node.js with a specific flag. Client-only components recognized by RSC can be executed on the client. React Streaming Components introduces the streaming concept and allows for continuous updates of the page. Advanced features of React Streaming Components include asynchronous rendering, suspense, and recursion. The React Strange Constraints challenge focuses on optimizing rendering by sending the initial page as HTML. The use of a proxy and RSE payload allows for client hydration of RSC. The possibility of using languages other than JavaScript, such as Rust, for server components is explored. RSC has the potential to become a language-agnostic protocol. The meaning of client-server roles in RSC can be extended. RSC offers streaming capabilities and the ability to balance server and client work. Infinite streaming is possible with server sockets. RSC hydration is believed to be faster than regular hydration. The Talk concludes by encouraging questions during the Q&A session.

Hello everyone! I'm Anthony Fu, a coaching member of Vit, Vue, and Nuxt. Today, I'll share my findings and practices in exploring ESLink and its ecosystem. ESLink v9.0 released 7 months ago with the new FlatConfig, which simplifies plugin configuration and provides full control and customization in JavaScript. Migrate legacy config to FlatConfig with eslink-migrate-config CLI and use eslink-config-inspector for visualized step tool. Flag config utilities make config customization easier and allow project-aware configs. ESLink is a powerful AST toolkit and can be used as a formatter. Use ESLink for maintaining stylistic rules and customize it to fit your project's needs.

Introduction to React Compiler, its benefits, and the problem of memoization in React. Performance issues due to stateful components in React, solution with React.memo and use memo, and the benefits of React compiler in automating memoization. Compiler's transformation into high-level intermediate representation provides a clearer understanding of code operations and data flow, addressing the issues with unique identifiers for variables in complex scenarios. Compiler ensures each variable is assigned exactly once through single static assignment, resolving issues with variable values based on code paths and introducing unique names for assignments. Effects describe how operations interact with data, ensuring safe caching with types like read, store, capture, mutate, and freeze effects. The compiler understands operations but needs to identify values that change between renders for React, leading to the reactive analysis phase to determine reactive values in the component. Variables marked as reactive for potential changes between renders are optimized for caching. Compiler identifies dependencies to group operations for efficient caching. Scopes are established to cache related variables together and ensure efficient rendering and performance improvement in the final JavaScript code. Compiler sets up cache slots for dependencies and outputs to optimize performance. Scopes work independently to recalculate based on changes, ensuring efficient memoization. React Compiler streamlines memoization, providing automatic correct optimizations without manual burden, paving the way for performance-focused code.

Exploring AI's impact on React coding quality and the importance of context, tools, and practices in leveraging AI effectively. AI as a force multiplier, differences between vibe coding & AI-assisted engineering, AI models' competencies in React prompts, and React developers' favorable position amidst AI advancements. AI's implications for React development, complexity cliff in React work, and AI's design challenges for React developers. React work's complexity cliff, Design Arena benchmarks for AI design capabilities, AI's design challenges for React developers. AI's role in visual design control, Design Arena's insights on scaffolding impact, AI's UI scaffold capabilities and human judgment necessity. Vercell's Next.js evals, Webbench by ByteDance, and Web Dev Arena insights on AI performance in web development. Gemini 3 and GPT-5 catching up in design models, exploring website code generation, and design sensibility in AI for React workflow. Solving the purple problem in AI training, tips for using AI in React development for building sites, and managing AI like a junior developer. Evaluating AI's performance in complex tasks, lessons on using AI like a developer, and the importance of specificity and human oversight in AI usage. Enforcing productivity and supervision, addressing context failures through engineering and providing comprehensive context for agent performance. Template for context engineering, controlling tooling quality, using Context-7 for fresh docs and examples, leveraging MCP servers for real data, and improving overall quality loop. Connecting tools for closed-loop coding, Vive coding for rapid product creation, UI components for isolated, reusable components. UI components arena focus on isolated, reusable components and visual comparisons. Guidance for UI component generation and complex 3D and data visualization models for interactive experiences. AI assistants integration strategies for 3D and data visualization. Importance of specific details like libraries and scene descriptions for optimal AI assistance. Balancing control with AI model generation and the critical factors in AI code success or failure. Debugging workflow lessons applicable to all; New flow state in AI-assisted development focusing on orchestration and code creation; Gemini 3 launch for web development and design leadership. Website aesthetics and design improvements; Proactive tool utilization for React devs; Embrace AI for faster product development. AI in automated debugging with AI agents; Limitless potential of AI in coding quality; Image generation tools for slides; Addressing security and architectural regressions in AI-generated code. AI's Impact on Future Frameworks and Team Alignment in Workflow Standardization. Strategies for Context Bugs and Workflow Optimization.

Sam discussing Next.js features including cache components for dynamic apps with a blend of static pre-rendering for speed. Discussing a dynamic app with personal data, utilizing cookies and a database for chatting, showcasing Next 16's cache components for hybrid static and dynamic pages. Making necessary changes for cache components in Next to improve page loading speed and user experience, utilizing Suspense DevTools for enhanced rendering control. Utilizing state for real-time updates from OpenAI's async iterable stream in the front end. Using generators to streamline text data transmission from OpenAI streams for efficient UI updates. Discussing the benefits of managing less client-side state and implementing optimistic rendering for instant UI feedback. Discussing the use of temporary client state, error handling, and the concept of optimistic rendering for responsive and instant applications in Next.js. Exploring features of Next 16, cache components, and the use cache directive for dynamic rendering and runtime prefetching in Next.js.

The Talk delves into the impact of LLMs on engineering workflows, emphasizing the shift towards AI for code writing efficiency. It highlights the importance of problem-solving abilities and product development in hiring practices. LLMs enhance productivity for developers, designers, and product managers, enabling faster iterations and collaboration. Efficient product workflows are achieved through simultaneous UI and code work using Builder.io. Task delegation is streamlined with async agents and Builder bots, optimizing project editing and code management. Integration with tools like VS Code and Figma streamlines design and code editing, enhancing collaboration and workflow automation.