AI How-Tos

Transforming a novel or screenplay into a split-screen script is a key part of creating film, television, animation and comics. The process requires creators to deeply analyze the text, comb through the plot, characters, scenes and dialog, and then construct a series of continuous images through imagination. The traditional manual approach is not only time-consuming, but also a huge amount of work...

Foreword: Building Cost-Effective AI Image Generation and Editing Workflows Tongyi Thousand Questions Qwen-Image, an open source text-generated image model, has gained widespread attention for its superior ability in rendering complex text, especially Chinese character generation. Compared with mainstream models, it can accurately...

When building large-scale Language Model (LLM)-based knowledge base quiz applications, developers commonly employ Retrieval Augmented Generation (RAG) techniques. However, the practical effectiveness of RAG is often limited by a central paradox: how to balance retrieval accuracy with contextual integrity. If the text slice (Chunk) is too small...

Claude Code, an AI programming assistant from Anthropic, has gained widespread attention in the developer community for its powerful code generation and interaction capabilities. However, as a closed-source product, its internal working mechanism is always a "black box" to the outside world, which not only makes it difficult for developers to fully understand its decision...

AI programming tools are evolving from passive code "patchers" to active "development partners". They are able to understand complex requirements, plan tasks, and participate directly in the entire development process. In this article, we'll take an in-depth look at a command-line AI programming tool that represents this trend - we call it Claude Code - and provide a detailed...

Whether it's Cursor, Claude Code, or tools such as Aider and RooCode, all kinds of AI programming tools are entering the marketplace with their own unique methods of configuring instructions (e.g., .cursor/rules/, GEMINI.md, etc.). This diversity reflects the innovative thinking of different teams,...

Data visualization usually requires tedious programming or complex GUI operations, but now there is a new option. The @antv/mcp-server-chart project under the AntV ecosystem, Ant Group's open source data visualization library, allows users to quickly generate a variety of mainstream charts through natural language commands, greatly simplifying...

With the rise of agent-based terminal programming tools like Claude Code, a new development paradigm is emerging. Such tools allow developers to perform complex tasks ranging from requirements analysis to code implementation, testing, and fixing through AI agents in a terminal environment. However, their native interaction experience and functionality...

Dify, an open source LLM application development platform, has gained traction in the developer community with its all-encompassing capabilities ranging from Agent building and AI workflow orchestration to RAG retrieval and model management. It is known for its elegant design and smooth experience, while the development team's amazing iteration speed...

Claude Code: Intelligent Development Agent in the Terminal Anthropic's command line tool, Claude Code, is not just another chat window or IDE plugin, but a development agent natively integrated into the terminal environment. It understands project structure, reads and writes files, executes commands, and even coordinates multiple children .....

In AI application development, the performance of a well-designed Prompt can be extremely unstable, with excellent results yesterday and little results today in a new scenario. The randomness and unpredictability of this effect is a key obstacle that prevents AI applications from moving from prototype to scale production. All pursuing services hold ...

A common phenomenon: even though the RAG system uses the strongest LLMs and Prompt has been tuned repeatedly, the Q&A results are still poor, with answers that are either contextually incomplete or contain factual errors. Engineers check the retrieval algorithms and optimize the Embedding model, but often overlook the fact that the data enters...

At the August 8 launch event, Open AI CEO Sam Altman announced the next generation of his flagship model, GPT-5, which is described as a significant improvement in accuracy, speed, inference, contextual understanding, and structured thinking, making the experience of talking to it akin to "talking to a Ph.D. in the field. ....

In the wave of AI-assisted development, developers are constantly looking for best practices to seamlessly integrate top-notch language models with native workflows. Anthropic introduces Claude Code as a powerful endpoint-native AI assistant that can understand and manipulate entire codebases directly, dramatically improving development efficiency...

With the increasing popularity of AI-driven presentation tools such as Gamma and Microsoft Copilot, most users are accustomed to generating slides with a single click through simple commands in a graphical interface. These tools greatly improve efficiency, but can sometimes seem templated and lack the flexibility for deep customization. However...

Literature management is an ongoing challenge for researchers. The collection, organization, reading and citation of a large amount of literature constitutes a heavy but crucial part of research work. Traditional manual management methods are not only inefficient, but also prone to failing to find the required information at critical moments. Fortunately, with the help of now...

The traditional process of creating presentations often means an endless investment of time between content ideation, visual design, and layout alignment. For many non-design professionals, PowerPoint or Keynote can seem like an insurmountable mountain. Fortunately, artificial intelligence is radically changing this...

As the paradigm of big language modeling and engineering practices evolve, a series of applications for intelligentsia designed to mimic the human research process have emerged. These intelligences are not just simple question-and-answer tools, but complex systems capable of autonomously planning, executing, reflecting, and synthesizing information. In this paper, we will deconstruct the framework of different research-based intelligences ...

The Dilemma of Code Documentation and AI Breakthrough Programmers are generally reluctant to write and maintain documentation, which is a long-standing problem in the field of software development. Code is easy to change and documentation is hard to track down, leading to a serious disconnect between documentation and actual code in many projects. When teams need to take over a legacy codebase that lacks competent documentation,...