I'm super excited to be here today, giving my first live talk at an in-person conference. Dominik, the maintainer of React Query, walks through the API design decisions, including success stories, trade-offs, and mistakes. Tener Linsley designed React Query's medium-sized query API to be minimal, intuitive, powerful, and flexible. Major versions in open source require marketing efforts, but not primarily for adding new features. TypeScript is crucial for building projects and managing user demands in open source can be challenging. The addition of the max pages option improved performance and avoided unnecessary refetches. Inversion of control gives users flexibility, but mistakes can happen in API design. Open source requires time management and feedback from users. API design is influenced by typing ease and good TypeScript support. Getting involved in open source involves trial and error and joining community platforms like TanStack Discord. Dominik's journey started during the pandemic and he can be found on Twitter, TanStack Discord, and his blog.

Discussing the importance of adopting AI in legacy modernizations and the risks associated with outdated systems, challenges in legacy ecology, reliability rupture, and migration mutiny. Exploring Lean Tech at Theodos for maintaining agility and customer value, improving system architecture through visualizing endpoints and high-quality coding. Optimizing accuracy with agent coders, industrializing migration with LeanTech principles for 10x acceleration. Leveraging AI for product building, AI model evaluation, and the preference for Claude over GPT in migration.

Hello, React Summit and goodbye, you states. Introduction of the speaker, David K. P., creator of Xstate library. Discussion on challenges with useEffect, managing multiple useEffects, implications of state overuse, optimizing state management in React, enhancing form data handling, effective state management strategies, innovative state management approaches, state management best practices, exploring state management options, promoting best practices, and exploring state management tools.

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.

Three years ago, faced tough decision job change. Chose tech co-founder role for innovative idea 'war with apply to job button' for universities. Startup validation via email engagement with decision makers, avoiding premature seeking of investment. Emphasis on tech stack adaptability, modular design, and reusability. Challenges with third-party library management, component library reorganization, and optimizing CSS loading. Focus on app quality improvement, release process enhancement for global success.

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.

In the Talk, various key points were discussed regarding micro-front-end architecture. These included challenges with micro-intents, common mistakes in system design, the differences between micro-intents and components, granularity in software architecture, optimizing micro-front-end architecture, efficient routing and deployment strategies, edge computing strategies, global state and data sharing optimization, managing data context, governance and fitness functions, architectural testing, adaptive growth, value of micro-frontends, repository selection, repo structures, and web component usage.

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.

Panel introduction with members from Netflix, Meta, G2I, and Replay discussing their roles. React Foundation's impact on developers' daily routines and gradual changes without sudden disruptions. Discussing React governance split, emphasizing transparency in decision-making. Foundation's goals include supporting key libraries, expanding React communities globally, and fostering idea realization. React Compiler's impact on front end development, highlighting the complexity and importance of engineering with React. Integration of AI and vibe coding enhances the compiler's ability to optimize code and provide real-time feedback. Vibe coding importance and good engineering practices. React's mental model challenges and the potential impact of the compiler on performance optimizations and simplifying the mental model. Discussing the challenges of using AI in React development and the need to simplify instructions and improve data feeding for better output quality. Discussing the empowerment of AI in guiding React code writing and the importance of sharing instructions and evaluations for framework improvement. Understanding the gaps in React documentation, translating learning into real-world applications, and navigating architectural decisions.