@Indianrlyinfo@CRailwayMumbai@Central_Railway As I local train traveller from Shahad Station to Thane, where on dialy basis 9.19 Am and 9.24am local train comes late after that too much crossing in kalyan station side of passenger train.
We are getting late in office.
Look it.
In this AI age, ideas and tools can be cloned in minutes. Decades of research are replicated without governance or control.
AI-driven replication should include fair royalty and partnership for original builders.
Otherwise, power will concentrate with big players. 🤖🧬🤷♂️
Astro 6 is here! We completely rebuilt the Astro dev server and build pipeline onto a new, more powerful runtime-agnostic architecture.
Plus: New Fonts API, CSP support, an experimental new Rust compiler, and more...
https://t.co/ltMsuLM6CD
May you find stillness like Shiva in meditation.
May obstacles dissolve like poison in Neelkanth’s throat.
May your ambitions align with purpose and dharma.
May your home be filled with peace and abundance.
Happy Mahashivratri 🔱
#USnoozeULose
https://t.co/dZMmQYq7hJ - A New Paradigm in Backend Engineering - Instead of juggling separate frameworks for APIs, background jobs, queues, or workflows, you define everything in one place: how it runs, when it runs, where it runs, and what it does.
https://t.co/felF3uxVJg - Protocol Buffers, is a high-performance, language-neutral, platform-independent mechanism for serializing structured data, developed by Google, communications protocols, data storage, and more, providing a compact binary representation that's faster.
https://t.co/tTLsIj7HrC
Build lightning-fast 🚀websites with @astrodotbuild!
✨ Ships less JavaScript by default (partial hydration) 🌐 Supports React, Vue, Svelte & more 📄 Static-first with SSR options ⚡️ Perfect for blogs, docs & content sites
#WebDev#AstroJS
How should you search, filter, and paginate data with Next.js? This demo has 50,000 books in a Postgres database.
• Page Load: When the page loads, we see the React Suspense fallback. This loading skeleton is displayed until the first page of books is retrieved from the database.
• Searching: The search input has a 200ms debounce. After 200ms of inactivity, the form submits, updating the URL state with `?q={search}`. The Server Component reads `searchParams` and queries the database. On form submission, a React transition starts, allowing us to read the pending status with `useFormStatus` to display an inline loading state.
• State Preservation: Navigating to an individual book page retains the search input state. Reloading the page or sharing the link preserves the search results.
• Client-side Filtering: Filtering authors in the left sidebar is done client-side. Authors are fetched by a Server Component and passed as props to the sidebar. Changing the input value updates React state and re-renders the sidebar.
• Optimistic Updates: The sidebar’s selected authors are optimistically updated with `useOptimistic`. Checkbox selections update instantly without waiting for the URL to change.
• State Preservation: Navigating to an individual book page retains the sidebar filter input and selected author state across navigations, giving it an app-like feel.
• Pagination: Navigating between pages updates the URL state, triggering the Server Component to query the database for the specific page of books. We also fetch the total book count to show the total number of pages.
This demo isn't perfect yet (still working on it) but it's been a fun playground for some of these patterns. You can imagine a similar experience for thousands of movies, cars, products, or any other very large dataset.
Demo → https://t.co/ym72YZdt6I
Code → https://t.co/BguuQMHgeO