#open-source design tool
4148 related articles
Product Reviews·2 min
AI Coding Appliance vs Cloud LLMs: Can ¥480K in Annual Fees Buy 4 Local Deployment Solutions?
A deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
Read more →
Product Reviews·2 min
ChatGPT Voyager: A Browser Extension That Solves Conversation Management Pain Points
ChatGPT Voyager is a Chrome extension offering timeline navigation, pin markers, file type indicators, and more to help heavy ChatGPT users efficiently manage conversations and navigate long responses.
Read more →
Tutorials·3 min
Claude Code + Skills: A Practical Guide to 10x AI-Driven Test Case Generation
Learn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
Read more →
Tutorials·2 min
AI Code Explanation: Quickly Understand Someone Else's C# Code
Learn how AI code explanation helps C# developers quickly understand others' code. A 3-step demo with Tongyi Lingma for code handoffs, Code Review, and legacy system maintenance.
Read more →
Deep Dives·3 min
Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation
A deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.
Read more →
Tutorials·3 min
Python Learning Path: A Three-Stage Systematic Approach from Zero to Practical Projects
A detailed guide to Python's three learning stages: syntax fundamentals, advanced concepts, and practical applications. Covers OOP, web scraping, data analysis, and automation with timeline planning.
Read more →
Tutorials·3 min
Efficient PyTorch Learning: A Source Code-Driven Methodology
A proven PyTorch learning method: spend 2-3 days on basics, then advance rapidly by reading U-Net and ViT source code line by line. Master PyTorch through source code-driven learning.
Read more →
Tutorials·3 min
The Complete Vibe Coding Workflow: A Step-by-Step Guide for Non-Developers to Build and Ship Products Independently
A complete 7-step Vibe Coding guide from requirements to deployment. Learn how non-developers can independently build and ship products using VS Code and Claude Code, with PRD writing, static Demo validation, and step-by-step development.
Read more →
Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
Read more →
Tech Frontiers·2 min
Gemini Spark and Daily Brief: A Deep Dive into Google's Two AI Agent Tools
Deep analysis of Google Gemini team's two AI agent tools — Gemini Spark and Daily Brief — covering product positioning, core features, AI Agent trends, and Google's strategic agent ecosystem.
Read more →
Tutorials·2 min
Qwen + VS Code in Practice: The Full Process of Using AI to Revamp a Webmaster Networking Platform
A blogger uses VS Code and Alibaba Cloud Qwen 3.6 to completely revamp a six-year-old webmaster networking feature. This article details the tech stack, prompt engineering, and practical insights from AI-powered feature renovation.
Read more →
Product Reviews·2 min
How Codex Tracked Down a Bug: From Error Message to Open Source Fix
A developer used OpenAI Codex to debug a recurring browser extension error. Codex read the source code, identified a Chrome sleep mechanism flaw, and auto-generated a bug report that led to an open-source fix.
Read more →
Tutorials·2 min
Deep Dive into OpenAI Codex Plugin System: Architecture, Installation, and Hands-On Development
Deep dive into OpenAI Codex plugin system architecture (Skills, Apps, MCP Server), four installation methods, and a macOS app development case study showing how plugins boost AI coding efficiency.
Read more →
Product Reviews·3 min
OpenAI Codex Deep Dive: How Does the Async AI Coding Agent Actually Perform?
Deep dive testing OpenAI Codex cloud coding agent on a 50K-user production codebase, covering bug fixes, prompt optimization, and frontend UI tasks, with insights on the 30% completion rate value.
Read more →
Tutorials·2 min
Complete Guide to Local LLM Deployment with Ollama: AI That Works Offline
Complete guide to deploying open-source LLMs locally with Ollama. Covers installation, model selection, VRAM requirements, and performance comparison of Llama 3 and Qwen models. Free, offline-capable AI.
Read more →
Tutorials·2 min
Building a Multi-Platform Content Distribution Assistant with Zero Code: AI Coding in Practice
Build a multi-platform content assistant with zero code using AI Coding tools. Input a Bilibili video link to auto-generate copy for Xiaohongshu, WeChat, Weibo, and Douyin in 30 seconds.
Read more →
Tutorials·3 min
Zero Coding Experience to SaaS in 48 Hours: A Complete Breakdown of Reaching $20K MRR in 90 Days
Amazon seller Hassam, with zero coding experience, used Cursor to build SaaS product LaunchFast in 48 hours. Through an equity-for-distribution strategy, he hit $20K+ MRR in 90 days.
Read more →
Tutorials·2 min
Vibe Coding in Practice: Building a Mini-OpenClaw Agent from Scratch Without Writing Code
Learn how to build a Mini-OpenClaw Agent framework using Vibe Coding with zero code, covering OpenClaw's architecture, LangChain integration, and AI-assisted development workflows.
Read more →
Tutorials·3 min
Still Copy-Pasting with AI Coding? A Guide from Craft Workshop to Automated Engineering
Most developers still copy-paste with AI coding tools. This guide covers the evolution from Copilot to Claude Code, detailing CLAUDE.md, Skills, and MCP to achieve Non-Interactive automated workflows.
Read more →
Product Reviews·1 min
Gemini 3.5 Flash Falls Flat: Great Benchmarks, Terrible Real-World Performance, and a Buggy CLI
Gemini 3.5 Flash benchmarks look great but it's the only model that failed real-world coding tests. Prices surged 20x with poor token efficiency.
Read more →