204 related articles

Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.

A systematic guide to Dify's three deployment methods (Docker/source/online), five application types, and hands-on workflow nodes—covering LLM integration, MySQL config, and app publishing.

A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.

An in-depth look at the difference between Vibe Coding and AI engineering-grade programming. Can AI replace programmers? From Claude Code and Codex to Cursor, revealing the real limits, enterprise pain points, and engineering solutions of AI coding tools.

OpenAI's open-source codex-plugin-cc plugin lets developers call Codex inside Claude Code for code review and task delegation. 22K+ GitHub stars signal AI coding's multi-model era.

OpenAI releases the GPT-5.6 series with Soul, Terra, and Luna models. Ranked first on Terminal Bench coding evaluation, Ultra mode natively bakes agent orchestration into the model, while revealing Agentic Trace data as the core competitiveness of next-gen AI training.

A deep dive into Claude Code Agent Teams: how they differ from Subagents, contract-first design, model allocation strategies, and a real case of 16 agents building a C compiler.

GPT-5.6 launches Soul/Terra/Luna, with flagship Soul scoring 91.9% on Terminal Bench 2.1. This article breaks down the Ultra vs Max reasoning modes, three-tier pricing, and four hidden pitfalls to guide your technical selection.

Zhipu GLM 5.2 review: open weights released within 24hrs, built for long-horizon Agent tasks. Strong benchmarks, standout writing & frontend design, at a fraction of closed-model pricing.

How Agentic AI achieves SOTA performance in interstitial lung disease (ILD) genomic interpretation through autonomous planning, multi-step reasoning, and tool calling—and its clinical impact.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

An in-depth analysis of the practical use of Codex and Claude Code, comparing Vibe Coding and AI engineering, covering Super Power plugins, Spec-Driven Development, and Chinese LLM integration strategies.

ctx is a local-first open-source tool that lets developers search and reuse conversation history from Claude Code, Cursor, and GitHub Copilot without uploading data to the cloud.

Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection for enterprise AI agents.

Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection.

A PKU-Stanford trainer breaks down how Python surpasses Stata and R, how AI-driven Skills and Paper Workflow automate empirical research from data to LaTeX paper drafts.

Kimi K2.7 Code open-sourced with 30% fewer tokens; HiDream O1 Image 1.5 tops global rankings, beating Google and ByteDance. A roundup of China's latest AI breakthroughs.

herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.

Cursor launches three major products: cloud agents on mobile, Origin — an agent-native Git platform challenging GitHub, and a custom foundation model with 10-20x compute. AI coding enters the Agent-First era.

Herdr is an open-source Rust-written terminal tool positioning itself as an AI Agent multiplexer, unifying Claude Code, Cursor, and more in one CLI interface.