#real-time chat
12 related articles
·3 min
Claude Code in Practice: A Complete Tutorial for Building a WebSocket Real-Time Chat Room from Scratch
A detailed walkthrough of building a real-time chat room from scratch with Claude Code, covering WebSocket server setup, multi-room private messaging, bug fixing, and prompt engineering tips.
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·3 min
Claude Code in Practice: Building a WebSocket Real-Time Chat Room from Scratch
Learn how to build a WebSocket real-time chat room with Claude Code, covering multi-room systems, private messaging, emoji/image sending, message search and export, plus full setup and bug-fixing workflow.
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·3 min
N2 Model as a Free Claude Code Alternative: Does Voice-Driven AI Coding Actually Work?
N2 model, built on Qwen 3.5, is completely free and integrates with Claude Code. Real-world tests show voice commands generating full landing pages, with AgentOS enabling shared memory and multi-model collaboration for zero-cost AI coding.
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·3 min
Cloudflare Acquires VoidZero: How the Vite Ecosystem Changing Hands Reshapes the Cloud Development Landscape
Deep analysis of Cloudflare's VoidZero acquisition: why the Vite ecosystem is key, how it fixes Cloudflare's DX gap, and what it means for cloud platform competition in the AI Agent era.
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·3 min
Semantic Code Diff, In-Database Workflows & Mac-Native Containers: Open Source Projects Worth Watching This Week
This week's roundup covers five open source projects: SAM semantic code diff boosting AI Agent accuracy 2.3x, Microsoft's PG Durable for PostgreSQL workflows, Apple Container, Mattermost, and Extend UI.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·4 min
Full-Stack Development in a Todo App: 35 Core Technologies Every Programmer Should Know
Using a todo app's full development lifecycle as a guide, this article covers 35 core full-stack technologies from frontend to backend, databases, DevOps, cloud deployment, and scaling architecture.
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·1 min
Gemini 3.5 Flash Early Experience: Balancing Speed and Capability
Developers share early hands-on experience with Google's Gemini 3.5 Flash model, showing fast speed, strong coding ability, and self-correction. A deep dive into its performance, testing, and positioning.
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Tutorials·3 min
Complete Google AI Studio Tutorial: Interface Configuration, Model Selection & Hands-On Applications
Complete guide to Google AI Studio covering interface layout, API setup, Gemini model selection, parameter tuning, and hands-on use cases for Build, image generation, video creation, and music.
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Product Reviews·3 min
Zor Full-Stack AI Engineer: Build Complete Production-Ready Apps with a Single Prompt
Deep dive into Zor, the full-stack AI engineer platform that builds complete apps via natural language. Covers auth, databases, Stripe payments, AI image generation, and comparisons with Cursor and Lovable.
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Tutorials·3 min
Java + UniApp in Practice: Full-Stack Development of a Stray Pet Rescue Mini Program
A detailed guide on building a stray pet rescue WeChat Mini Program with Spring Boot and UniApp, covering C2C adoption flow, WebSocket chat, and review mechanisms.
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Product Reviews·3 min
Google AI Studio Build 2.0 Deep Dive: A Comprehensive Breakdown of Five Core Upgrades
Deep dive into Google AI Studio Build 2.0's major upgrade: Anti-Gravity agent, Firebase integration, full-stack support, server-side generation, and multi-framework options transforming this free AI coding platform.
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