标签：#Java

In this post i'm gone explain liked list an famous leetcode problem that is " Remove Nodes from linked list ". Problem Statement: You are given the head of a linked list. Remove every node which has a node with a greater value anywhere to the right side of it. Return the head of the modified linked list. Example 1: Input: head = [5,2,13,3,8] Output: [13,8] Explanation: The nodes that should be removed are 5, 2 and 3. Node 13 is to the right of node 5. Node 13 is to the right of node 2. Node 8 is to the right of node 3. Explanation: In this problem statement state that remove the nodes which have the right side (any place) element greater than. let's understand with given example. Node 13 is the right side of the 5,2 nodes thats why 2,5 should be remove. Node 8 is the right side of 3 node thats why 3 should be remove. final result would be [13,8] Solution of the problem: `/** * Definition for singly-linked list. * function ListNode(val, next) { * this.val = (val===undefined ? 0 : val) * this.next = (next===undefined ? null : next) * } */ /** * @param {ListNode} head * @return {ListNode} */ const reverList = function(head){ let prev = null; let curr = head; let next = null; while(curr!=null){ next = curr.next; curr.next = prev; prev = curr; curr = next; } return prev; } var removeNodes = function(head) { // reverse list let reversList = reverList(head); let maxNode = reversList; let prevNode = reversList; let currNode = reversList.next; // removed list while(currNode != null){ if(maxNode.val > currNode.val){ currNode = currNode.next; }else{ maxNode = currNode; prevNode.next = currNode; prevNode = prevNode.next; currNode = currNode.next; } } prevNode.next = null; // reverse list return reverList(reversList); };` If you have any query or suggestions leave your expression👨🏿‍💻🙌.

GitHub热门项目 | 使用 NextJS + Notion API 实现的，支持多种部署方案的静态博客，无需服务器、零门槛搭建网站，为Notion和所有创作者设计。 (A static blog built with NextJS and Notion API, supporting multiple deployment options. No server required, zero threshold to set up a website. Designed for Notion and all creators.) | Stars: 11,496 | 44 stars this week | 语言: JavaScript

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GitHub热门项目 | CodeVibe is an interactive learning platform designed to help beginners understand programming through simple lessons and hands-on practice. It includes structured course sections, coding examples, and a built-in HTML compiler that lets users write and test code directly in the browser, making learning web development practical, engaging. | Stars: 28 | 2 stars today | 语言: JavaScript

GitHub热门项目 | Automated auditing, performance metrics, and best practices for the web. | Stars: 30,276 | 10 stars today | 语言: JavaScript

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GitHub热门项目 | Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed. | Stars: 17,522 | 138 stars today | 语言: JavaScript

Look at your modern Agentic AI stack. An agent wants to execute a tool, trigger a deployment, access a database, or call an external API. Because nobody fully trusts a probabilistic black box, many teams now use a second probabilistic black box to validate the first one. Think about what is actually happening. You are running hundreds of billions of parameters, consuming tokens, burning GPU resources, and adding hundreds or thousands of milliseconds of latency just to answer a simple operational question: PASS HOLD RED Or in plain English: Continue Verify Stop For many production systems, that's the only decision that matters. Yet we often spend orders of magnitude more compute determining whether an action should execute than executing the action itself. That feels dangerously close to architectural bankruptcy. The Illusion of Prompt-Based Safety We've all done it. You create a prompt: "You are a security validator. If the action appears unsafe, return RED." Then reality arrives. Prompt injections appear. Edge cases appear. Different model versions behave differently. The same input occasionally produces different outputs. And your cloud bill keeps growing. At some point, a difficult architectural question emerges: Can a probabilistic system reliably govern another probabilistic system? Many teams assume the answer is yes. I'm not convinced. The Problem Isn't Intelligence This is where I think the industry may be looking at the problem incorrectly. The challenge is not intelligence. The challenge is governance. LLMs are exceptional at: Reasoning Summarization Code generation Natural language interaction But governance is a different problem. Governance is not asking: "What is the best answer?" Governance is asking: "Should this action be allowed to proceed?" Those are fundamentally different questions. A Different Architecture While exploring this problem, we ended up building a separate deterministic governance layer internally. Instead of generating text, it perf

22 Astro Best Practices: The Bookmark-Worthy Tips At QuotyAI I'm using Astro to build landing pages and blog posts, so I have hands-on experience how to use it properly and how to vibe-code without headache. Astro is the best framework for content sites right now - #1 in developer satisfaction in the State of JS 2025 survey, with Cloudflare backing it since January 2026. But like any tool, it rewards people who use it the way it was designed. This is the reference I wish I had when I started. Whether you're building your first Astro project or vibe-coding a blog at 2am, these are the habits worth forming from day one. Heads up on versions: This article covers Astro 6.x (released March 2026) and Astro 6.4 (released May 2026). Some APIs from older tutorials are now deprecated - those are called out explicitly below. Always check the upgrade guide when moving between majors. 🖼️ Assets & Media 1. Use <Image /> instead of <img /> Astro's built-in <Image /> component does a lot of work at build time that plain <img> tags leave on the table: it converts images to WebP, generates the right width and height attributes to prevent layout shift, and compresses everything without you touching a single config file. --- import { Image } from 'astro:assets'; import hero from '../assets/hero.png'; --- <!-- ✅ Optimized: converted to WebP, compressed, no layout shift --> <Image src={hero} alt="Hero image" /> <!-- ❌ Skips all of that --> <img src="/hero.png" alt="Hero image" /> For art-direction scenarios (different images at different breakpoints), reach for <Picture /> instead. 2. Use the Astro 6 Built-in Fonts API Almost every website uses custom fonts, but getting them right is surprisingly complicated - performance tradeoffs, privacy concerns, self-hosting, fallback generation, and preload hints. Astro 6 added a built-in Fonts API that handles all of it for you. Configure your fonts in astro.config.mjs : // astro.config.mjs import { defineConfig , fontProviders } from ' astro/conf

Building a Unix-Domain-Socket IPC server for ECS-on-EC2 services that need to talk fast, cheap, and reliably A while back I was looking at a flamegraph of a service that, on paper, should not have been having any performance problems. The producer and the consumer were the same Docker image's worth of trouble — colocated on the same EC2 host, in the same ECS cluster, sharing the same instance type, the same kernel, the same RAM. By every reasonable measure they were neighbours. And yet every event was making a round trip that looked roughly like this: producer → kernel TCP stack → ENI on the producer task → AWS VPC → internal load balancer → ENI on the consumer task → kernel TCP stack → consumer. TLS handshake. HTTP framing. JSON over the wire. Connection pool. Retry policy. The whole circus. I wasn't doing anything wrong. This is what the platform funnels you toward. ECS with awsvpc networking gives every task its own ENI. The default story for "service A talks to service B" is "give B a DNS name, put a load balancer in front of it, configure a security group, point A at the LB." Even if A and B are physically on the same box, the bytes are still leaving the kernel, traversing the VPC, and coming back. There's a fix for this. It's been a fix for fifty-something years. It just hasn't been the default fix, because cloud-native architecture grew up assuming services would be scattered across hosts and the network was the abstraction that mattered. This article is about building a proper IPC server using Unix Domain Sockets, deployed as a sidecar pattern on ECS-on-EC2, with a wire protocol robust enough to ship in production. We're going to design it from scratch — the transport choice, the wire format, the backpressure model, the failure modes, the deployment topology. I'll show you real pseudo-code from the implementation and call out the small number of places where, if you get it wrong, you'll spend a weekend debugging it. The intended outcome is something you coul

How a shared filesystem became the cheapest, fastest outbox I've ever built — and why FSx for OpenZFS is the version of that idea that finally scales I was staring at an AWS bill last quarter where a single Kinesis Data Streams line item was costing more than the entire S3 footprint sitting behind it. The events on that stream had a useful lifetime of about ninety seconds. They were written by one service, read by another, processed, and dropped. We were paying full streaming-bus price for bytes that barely outlived a TCP timeout. That bill is what got me thinking about transitional data as a category that deserves its own architecture, and about why every "use the right tool" instinct I had — Kinesis, Kafka, MSK — was the wrong tool for this particular shape of work. The right tool, it turns out, is a filesystem. Specifically, AWS FSx for OpenZFS, used as an outbox between producers and consumers, with only a tiny pointer message traveling through whatever messaging bus you already have. This article is the case for that pattern. It's also the design, the failure modes, the code, the cost math, and the honest list of when not to do it. I'll walk you through the architecture from first principles, show you the safe-write protocol that makes it correct under crashes and concurrent retries, compare the cost against Kinesis, MSK and EFS at a realistic petabyte-class workload, and explain why the recent addition of FSx Intelligent-Tiering changes the cost story in a way that makes the pattern attractive even for teams that don't ingest petabytes. If you've ever felt the queasy sensation of paying twice for the same bytes — once to land on a stream, again to land in storage — this is for you. What "transitional data" actually means Most data falls into one of two cleanly shaped buckets. Durable data is the stuff you keep — user records, orders, financial events, audit trails. It needs to live for years; you pay storage costs for those years and you get value over those y

Environment Variables in Node.js: The Complete Guide (2026) Environment variables are the standard way to configure apps across environments. Here's how to use them correctly. What and Why What: Key-value pairs set outside your application code Where: OS environment, .env files, CI/CD config, container orchestration Why: → Separate config from code (12-Factor App methodology) → Same code runs everywhere (dev, staging, production) → Secrets never committed to git → Easy to change behavior without redeploying Reading Env Vars in Node.js // Method 1: process.env (built-in, always available) const port = process . env . PORT || 3000 ; const dbUrl = process . env . DATABASE_URL ; const apiKey = process . env . API_KEY ; // ⚠️ process.env values are ALWAYS strings! const timeout = parseInt ( process . env . TIMEOUT , 10 ) || 5000 ; const debug = process . env . DEBUG === ' true ' ; const maxRetries = Number ( process . env . MAX_RETRIES || ' 3 ' ); // Method 2: dotenv (most popular approach) // npm install dotenv import ' dotenv/config ' ; // Loads .env into process.env automatically // Now process.env has all your .env variables! // Or explicit load: import dotenv from ' dotenv ' ; dotenv . config ({ path : ' .env.local ' }); // Custom file path // Method 3: env-cmd (for package.json scripts) // "dev": "env-cmd -f .env.dev node server.js" // "prod": "env-cmd -f .env.prod node server.js" // Method 4: tenv / enve (type-safe alternatives) import { env } from ' tenv ' ; const port = env . number ( ' PORT ' , 3000 ); // Type-safe with default const dbUrl = env . string ( ' DATABASE_URL ' ); // Required, throws if missing const debug = env . bool ( ' DEBUG ' , false ); // Boolean parsing The .env File Ecosystem # .env (committed to git with defaults) NODE_ENV = development PORT = 3000 LOG_LEVEL = debug # .env.local (NOT committed! Gitignored) # Contains local overrides and secrets DATABASE_URL = postgresql://localhost/myapp_dev API_KEY = sk_test_local_key JWT_SECRET = local-de

Hello Dev Community 👋 I recently built my first web project called Namastra — a simple tool to explore the meanings, origins, and insights behind names. 👉 Live Demo: 💡 Why I built this I noticed that many people are curious about: What their name means Where their name comes from What personality or cultural meaning it carries But most websites are: Too slow Full of ads Hard to navigate So I decided to build something simple, fast, and clean. ⚙️ What Namastra does With Namastra, users can: 🔍 Search any name instantly 📖 Get meaning and origin 🌍 Learn cultural background ⚡ Use a clean and fast interface 🛠️ Tech Stack I built this project using: HTML CSS JavaScript GitHub (version control) Netlify (deployment) Hosted here: [Netlify] Code managed via: [GitHub] 🚧 Challenges I faced As a beginner developer, I faced challenges like: Designing a clean UI Making search functionality smooth Deploying with GitHub + Netlify Structuring data properly But I learned a lot through building it step by step. 🎯 What I learned How to build and deploy a full project How important UI simplicity is How real users think differently than developers How deployment pipelines work (GitHub → Netlify) 🚀 Future improvements I plan to add: More name data Better UI design Categories (religion, origin, country) Possibly AI-based name insights 🙌 Feedback welcome This is my first real web project, so I’d really appreciate your feedback and suggestions. Try it here: 👉 Thanks for reading ❤️ Happy coding!

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Read Time: ~14 minutes | Building on React fundamentals to master state management at scale Prerequisites : Familiarity with React basics, useState, useEffect (Part 1) 🔗 Series Navigation ← Part 1: Complete Guide from Zero to Production Part 2: Advanced Hooks & State Management ← YOU ARE HERE → Part 3: Performance Optimization (coming next) 📌 What You'll Learn By the end of this guide, you'll understand: ✅ Creating powerful custom hooks ✅ When and how to use useReducer ✅ Managing state globally with Context API ✅ Redux fundamentals and when to use it ✅ Modern alternatives: Zustand and Jotai ✅ Choosing the right pattern for your project ✅ Real-world shopping cart implementation 🎣 Custom Hooks: Reusing Logic Across Components Custom hooks are regular JavaScript functions that let you extract component logic into reusable functions. They're one of the most powerful React patterns. Rule #1: Custom Hooks Must Start with "use" // ✅ Correct - starts with "use" function useFormInput ( initialValue ) { const [ value , setValue ] = useState ( initialValue ); return { value , bind : { value , onChange : e => setValue ( e . target . value ) }, reset : () => setValue ( initialValue ) }; } // ❌ Wrong - doesn't start with "use" function formInput ( initialValue ) { ... } Example #1: useFormInput Hook import { useState } from ' react ' ; function useFormInput ( initialValue = '' ) { const [ value , setValue ] = useState ( initialValue ); return { value , setValue , bind : { value , onChange : e => setValue ( e . target . value ) }, reset : () => setValue ( initialValue ) }; } // Using the custom hook function LoginForm () { const email = useFormInput ( '' ); const password = useFormInput ( '' ); const handleSubmit = ( e ) => { e . preventDefault (); console . log ( email . value , password . value ); email . reset (); password . reset (); }; return ( < form onSubmit = { handleSubmit } > < input {... email . bind } placeholder = " Email " type = " email " /> < input {... password .