Search results for "storyblok":

Today's Talk is about Shopify Hydrogen and how it simplifies the development of headless Shopify stores. The Talk covers topics such as mixing Storyblok and CMS data, code and data manipulation in Hydrogen, creating products and collections, handling SEO, building a performance server-side cart, setting up and managing the cart, and displaying cart and raffle information.

Monorepos are a development strategy that allows you to store multiple projects in one repository, facilitating code sharing and simplifying dependency management. They provide simplified dependency management, improve code reusability, and enable a consistent build, test, and deployment process across projects. Tooling support like Nix, Yarn Workspaces, and NPM Workspaces streamline monorepo development. Code organization and scalability strategies involve fine-grained models, consistent directory structure, and selective dependency installation. Streamlining build processes can reduce build time, and optimizing performance and collaboration involves profiling tools and effective code review processes.

AI in front-end development empowers developers to take on more ambitious projects and innovate at a faster pace. Natural language is a new programming language that can be used for coding, learning, and automating complex tasks. However, it is important to remember that AI is a supplement to human capabilities, not a replacement. Developers need to evolve their skills and stay ahead of emerging technologies to work effectively with AI. The demand for AI engineers is high.

Today's Talk introduces the concept of the Edge and Content Delivery Networks (CDNs), which bring content closer to users, improving performance and security. The Talk also discusses Edge Computing and Distributed Hosting (DH), which processes client data closer to the source for faster delivery of dynamic content. The use of DH offers benefits such as better performance, security, real-time insights, and scalability. The Talk concludes with an overview of Edge concepts, including server-side rendering logic and custom middleware for each request.

Handling security in front-end development is crucial, and the OWASP Top 10 is a valuable resource for secure coding. The list of security risks is constantly evolving, and the Nuxt security module provides features like security headers, rate limiting, and cross-site request forgery protection. Frontend developers should prioritize security to avoid information leaks and mitigate risks. Understanding the difference between public and private tokens is important for secure token handling.

Hello and namaste, New York. I'm excited to talk about building scalable multi-tenant applications with Next.js. We'll cover what multi-tenancy is, its advantages, key considerations, and how Next.js aids in development. Before starting multi-tenancy, let's understand what a tenant is. In multi-tenant architecture, all tenants share the same app but have different access, roles, and permissions. Easy maintenance, efficiency, scalability, and cost-effectiveness are some of the benefits of multi-tenancy. However, challenges include scalability, isolation, security, and customization. Next.js allows for easy organization of different domains and paths. Dynamic routing in Next.js enables the customization of layouts for each tenant, ensuring a personalized look and feel. Next.js API routing allows for isolating data fetching for different tenants. Middleware can handle request validation and provide features like authentication, authorization, server-side redirects, conditional redirects, and data isolation. Next.js offers scalability through caching, a component-based and modular approach, load balancing, serverless functions and platforms, and different types of rendering. Next.js continues to evolve and is a popular choice for multi-tenant architecture.

AI offers opportunities for React developers to code faster and automate tasks. Generative AI is a crucial area for developers to focus on. Working with AI APIs and RAGS can open up new possibilities for projects. Orchestration frameworks and tools like Lanchain and relevance help chain tasks together and work with different AI models. AI is a supplement to human capabilities and learning to code with AI can help developers push boundaries and become better.