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An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.

Learn how to orchestrate Claude Code custom commands to chain content research and social media publishing agents into a fully automated workflow with one command.

Redis creator runs 284B-parameter DeepSeek model on a MacBook Pro at 26 tokens/sec using a pure C engine, asymmetric quantization, and MoE architecture.

Build a smart 2026 World Cup calendar with AI Agent in 6 minutes — zero code, WeChat push notifications, smart match recommendations, and post-match summaries.

A complete guide to reproducing GitHub projects from scratch: due diligence, virtual environments, dependency installation, script interpretation, and breakpoint debugging — helping grad students and junior developers run others' code efficiently.

Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.

A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.

A complete guide to Python tech freelancing: platform comparisons, milestone payment strategies, legal boundaries, delivery management, and building stable client relationships for sustainable side income.

A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.

Complete guide to installing Claude Code on macOS, Linux, and Windows, covering PATH config, glibc versions, SSL certificates, and first-run verification.

Databricks co-founders Matei Zaharia and Reynold Xin discuss why the frontier AI ecosystem must be open, the Agent Cloud concept, and how open vs. closed approaches will reshape the industry.

Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.

A deep dive into Agent Skills architecture: core concepts, components, and how it works. Clarifies common misconceptions about Skills vs. MCP, and compares Skills with Multi-Agent architecture.

Deep dive into Claude Code Routines: build proactive AI coding agents with time-scheduled and event-driven triggers. Covers automated docs, deploy verification, and on-call investigation.

AI Loop Engineering is called a new programming paradigm, but is it truly revolutionary? This article analyzes its core principles, mathematical limitations, real-world details, and the hype behind it.

CLI-WeChat-Bridge is an open-source tool that bridges AI CLI tools like Codex, Claude Code, and Open Code to WeChat, supporting voice input, file transfer, and multi-CLI parallel switching.

Learn essential .gitignore techniques for AI-powered coding. Covers AI temp files, system files, and dependencies with ready-to-use Node.js and Python templates.

Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.

A deep dive into Pi, a minimalist AI coding Agent framework covering multi-model support, extensions, skill loading, and hands-on custom extension building with model mixing strategies.

A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.