100 related articles

GitHub's official four-stage Copilot workflow framework covering prototyping, planning, implementation, and review helps developers build systematic AI-assisted development practices for real productivity gains.

GitHub Trending July 27: AI Agent Skills explode as claude-video, impeccable, and last30days-skill extend model capabilities without modifying models themselves.

A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.

A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.
jcode Deep Dive: Why Rust Is the Ideal…
jcode is an open-source Coding Agent framework built in Rust, gaining nearly 200 GitHub Stars in a day. Explore its architecture, Rust advantages, and application potential.

A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.

Why Claude Code cache misses occur with DeepSeek and MiniMax, how Prompt Cache and KV Cache work, and practical solutions including API proxy layers and stable prefix strategies to cut AI coding costs.
GitHub Daily · July 19: The Dual Advan…
GitHub Trending July 19: ktransformers tops the list with heterogeneous inference optimization, while jcode, cua, and AstrBot signal a maturing Agent ecosystem.
BAML: A Type-Safe Programming Language…
BAML is a domain-specific language for AI Agent development that uses a type system to solve unreliable LLM structured output and unmaintainable prompts.

Why do AI results vary so dramatically? LangChain V1.3 reveals the answer: engineering mindset. Covers LangGraph, Deep Agent, RAG, Time Travel, and more.

OpenAI Codex is redefining how AI engineers work: from code completion to autonomous Agents, from single-threaded to parallel Value Maxing. A deep dive into the Codex App architecture, open ecosystem, and Manager of Agents practice.

A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.

Learn how to develop custom tools based on the Unity MCP Relay Server, enabling AI agents like Cursor to directly control the Unity editor. Covers setup, tool building, parameter validation, and MCP Pro comparison.
Local Coding Agents in Practice: A Com…
An in-depth look at local coding agents—core concepts, advantages, and real challenges. Compare against Claude Code and learn to build a zero-subscription, private AI coding workflow with open-weight models.

ECC is an agent optimization framework for AI coding assistants like Claude Code, Cursor, and Codex, enhancing them with skills, memory, security, and research-first development capabilities.

Cursor launches deep Notion integration via the Cursor SDK — @mention Cursor in any Notion doc to trigger a cloud Agent that automatically opens a PR. We break down the workflow, product logic, and real-world limitations.

OpenAI Codex isn't about replacing engineers—it's about empowering them. A deep dive into the AI Engineer conference talk: from code completion to long-horizon agents, Value Maxing, and managing agent teams.

BingoCode is an MIT-licensed open-source AI coding tool supporting offline intranet deployment, compatible with DeepSeek, Claude, OpenAI, and Gemini. Pure CLI design, four-step setup, high cache hit rates for lower costs — ideal for security-conscious teams.