This article profiles two Chinese programmers—Cai Jingxian (Duolong) of Alibaba and Lou Tiancheng of Pony.ai—who achieved billionaire status primarily through coding, and analyzes the different paths and common factors behind their success.

A developer shares how they built a Gradio-based web tool that wraps Agnes AI's free APIs to generate images and videos, including text-to-image, image-to-image, text-to-video, and keyframe animation.

A comprehensive, hands-on guide to using AI Agents like Codex effectively, covering model selection, context management, conversation techniques, automation, and custom Skill creation for developers.

This article introduces Loop Engineering, a new AI programming paradigm where developers design autonomous loop systems that prompt, verify, and iterate AI agents, replacing manual prompt-by-prompt interaction.

This guide explains how to use ZenMux to obtain free API access to DeepSeek V4 Pro and configure it with local tools like cc-switch or Cherry Studio.

A developer demonstrates how to build an AI Hot Radar that scrapes trending AI content from Douyin, Xiaohongshu, and WeChat Official Accounts using Codex, RedFox Data APIs, and LLM analysis, all in about two hours.

A veteran front-end engineer refactors his AI Agent project and breaks down the ten core technical modules—from LLM integration and ReAct loops to memory, permissions, and subagents—that any developer needs to master to build a production-grade Agent in 2026.

A curated roundup of the ten most impactful open-source projects from GitHub's May 2026 trending list, covering agent skill libraries, code knowledge graphs, multi-agent orchestration, and AI-powered video automation.

FreeLLMAPI is a self-hosted API gateway that combines free tiers from 14 AI providers—including Gemini, Groq, Mistral, and GitHub Models—into a single OpenAI-compatible endpoint with intelligent routing, rate limiting, and fallback.

A developer shares 9 hand-picked Claude Code Skills that cover the full development lifecycle, from discovery and creation to frontend design, testing, documentation, and debugging — with installation tips and real-world pitfalls.

A developer shares their firsthand experience after switching from Cursor to OpenAI Codex for daily coding work, comparing the two tools' strengths, weaknesses, and philosophical differences.

This article presents a practical methodology for AI-assisted full-stack development that combines Harness-style prompting, structured SDD documents, and multi-agent parallel execution to improve code adoption rates and reduce development time.

This article argues that by 2026, AI will handle most routine coding, forcing programmers to shift from execution to defining problems, designing systems, and validating AI output. It outlines specific transformation paths for frontend, backend, client-side, big data, and full-stack engineers.

This guide explains the concept of Skills—reusable knowledge packages that extend AI Agent capabilities—and provides a complete framework for creating, structuring, and deploying them in development workflows.

A practical guide to extending Claude Code with 32 curated Skills and 8 MCP servers, covering installation, configuration, and real-world use cases for frontend, backend, documentation, testing, and more.

After six months of research and 100+ notes from teams like OpenAI, Anthropic, and LangChain, this guide reveals that the real bottleneck in AI Agent engineering isn't the model—it's the environment. The author shares a free 7-module tutorial covering context management, multi-agent architecture, and production deployment.

A step-by-step guide to building your first LangChain AI demo, covering model initialization, invocation, and output parsing with practical code examples using Alibaba Cloud Bailian and the qwen-coder-turbo model.

A veteran front-end architect shares blunt career advice for young Chinese developers, urging them to cultivate business sense, explore sales and short-video side hustles, and prioritize life choices like marriage and saving money over pure technical skill.

A solo developer shares the six-month journey of building and launching a WeChat expense-tracking mini-program, covering user acquisition, retention struggles, and the harsh reality of monetization.