PixVerse Tutorial: Web version to improve the quality of generated videos

As the application of artificial intelligence in the programming field becomes more and more in-depth, many developers, after experiencing the convenience of AI-assisted programming, expect to have an "exclusive AI engineer" that understands their needs better. The core of this demand lies in the ability of AI to accurately follow the developer's personalized instructions and specific project...

Background: n8n Challenges Integrating with the RAG Knowledge Base n8n is gaining traction as a powerful open source automated workflow tool. It was founded in 2019 by Jan Oberhauser, former visual designer of Pirates of the Caribbean, and aims to provide more flexibility than tools such as Zapier, into...

Vibe Coding: code disappears, a new wave of intuition-driven software development? The exponential growth of generative artificial intelligence is reshaping industries, and software development is no exception. Around the beginning of 2025, a new wave of thinking began to gain traction in Silicon Valley: it seemed that developers could leverage AI...

Background: why public access is needed n8n n8n is a powerful open source workflow automation tool that allows users to connect different applications and services to create automated processes. However, during use, many of n8n's App nodes (especially those involving third-party service licenses) need to be paired...

General Introduction serverless-qrcode-hub is an open source tool designed to solve the problem of frequent failure of QR codes in WeChat group chats. It is based on Cloudflare Workers and D1 database , without the need for traditional servers to run . Users can generate permanently valid QR codes for WeChat groups, f...

Recently, MCP (Model Calling Protocol) has become a high-frequency term in the technical circle. Simply put, MCP aims to simplify the process of using external tools or services for large language models (LLMs), significantly lowering the threshold for developers and users to build complex AI applications. With the related...

Traditional web crawler frameworks are versatile, but often require additional cleansing and formatting when processing data, which makes their integration with Large Language Models (LLMs) relatively complex. The output of many tools (e.g., raw HTML or unstructured JSON) contains a lot of noise and is not suitable for direct use in retrieving enhanced...

With the popularity of Large Language Models (LLMs) and various AI services, it is becoming increasingly common for developers to integrate these capabilities in their applications. However, directly invoking API endpoints from service providers such as OpenAI, Hugging Face, and others often presents a number of management and O&M challenges: opaque costs...