Software engineering is evolving with AI and VIBE coding reshaping work, emphasizing collaboration and embracing AI. The future roadmap includes transitioning from augmented to AI-first and eventually AI-native developer experiences. AI integration in coding practices shapes a collaborative future, with tools evolving for startups and enterprises. AI tools aid in design, coding, and testing, offering varied assistance. Context relevance, spec-driven development, human review, and AI implementation challenges are key focus areas. AI boosts productivity but faces verification challenges, necessitating human oversight. The impact of AI on code reviews, talent development, and problem-solving evolution in coding practices is significant.

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.

Introduced new feature in PNPM v10 called config dependency, allowing custom plugins. Centralizing configuration and dependencies management. Early installation of limited config dependencies in PNPM. Trusted dependencies for lifecycle scripts in PNPM. Versatility of pmpm hooks in configuration. Example of a config dependency for fixing type script issues. Discussion on project sustainability, security, contributors, and hiring prospects. Comparison of migration tools, hosting preferences, and package version restrictions.

In the Talk, the focus is on understanding software determinism and the implications for AI implementation. It delves into the importance of trustworthiness, reliability, and consistency in deterministic systems. The discussion also explores non-deterministic behavior in AI, emphasizing the pros and cons of unpredictability. The significance of measuring entropy tolerance in AI integration and business processes is highlighted, along with the value assessment based on tolerance levels. Additionally, the Talk touches on hybrid collaboration in AI utilization, showcasing examples of low, medium, and high entropy tolerance scenarios, and the role of AI in security auditing and high-tolerance tasks.

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.

This Talk introduces real demos using HTML, CSS, and JavaScript to showcase new or underutilized browser APIs, with ship scores provided for each API. The dialogue element allows for the creation of modals with minimal JavaScript and is supported by 96% of browsers. The web animations API is a simple and well-supported solution for creating animations, while the view transitions API offers easy animation workarounds without CSS. The scroll snap API allows for swipers without JavaScript, providing a smooth scrolling experience.

ESLint is a popular and constantly improving tool that offers full control and simplicity in JavaScript with native imports. The new Flat Config simplifies the complex tree structure of shared configs and has been in the works for five years. It allows for customization and type generation, maximizing flexibility. ESLint can be used as a formatter and a tool for code mode, providing more control and customization options. It also supports other languages and can be integrated with prettier. Migrating to the Flat Config may be challenging, but compatible packages and tools are available to assist with the transition.

Matt Sikathian emphasizes the importance of supporting right-to-left layouts in web development and the challenges faced in implementing Arabic scripts effectively. Adapting UI to right-to-left reading aligns with users' cognitive patterns, with CSS advancements showing promise in meeting diverse language needs. The unique considerations of Arabic script in UI design, technical adjustments necessary for Arabic typography, and handling bi-directional layout challenges using direction-agnostic approaches are discussed. The talk also covers enhancing React for logical CSS properties, building UI tools with icon mirroring, and streamlining icon management and automation for improved developer workflow.

Front-end developers benefit from cloud services like AWS S3 and Lambda. AWS offers services like Cognito for identity management and Bedrock AI models. AWS Amplify provides Hosting and Cloud Development Kit for efficient development. The Cloud Development Kit is recommended for TypeScript deployment. AWS Amplify connects front-end to AWS services and SDK for back-end. QR code feedback is available for the talk.