55 related articles
The Documentation Dilemma: Why Enterpr…
From retrieval difficulties to lagging updates and disconnected workflows, three dilemmas plague traditional documentation. Explore how the AI era can break the deadlock and get knowledge flowing.

LangChain releases four major updates: OpenWiki for auto-generating codebase docs, voice agent tutorials, Harbor evaluation integration, and deepagents programmable sub-agents.

A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.

Build production-grade AI Agents with a pure Go stack using ByteDance's Eino framework. A deep dive into seven core capabilities: multi-Agent orchestration, long-task execution, command approval, RAG, MCP, Skills, and database reporting.

In-depth hands-on review of Zhipu AI's flagship GLM-5.2: a 1M-token context window and API pricing just one-fifth of GPT/Claude. Covers website building, Chrome extensions, 3D game cloning, and agentic workflows.

A real case study: team builds AI Agent "Oogway" to auto-patrol after every job, investigate anomalies, create tickets, and update a knowledge Wiki — catching bugs before customers do.

OpenWiki is an open-source CLI tool that automatically generates and maintains structured documentation for AI agents. It addresses the context gap in AI coding assistants like Claude Code and Cursor, helping teams build effective context engineering workflows.

An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.

A deep dive into engineering Vibe Coding: using Superpowers for project-level decomposition and gstack for module layering and constraints to tame AI coding assistants like Codex and Claude Code.

Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.

From CSS-trap interview questions to 30K-line code patches, explore where human expertise truly matters in the Agent Coding era — and why AI raises the bar, not lowers it.

A comprehensive guide to OpenCode, the open-source AI coding tool — covering installation (desktop/WSL), model config, rules files, custom commands, MCP extensions, and Agent SQL capabilities.

A complete guide for frontend developers advancing to AI architects, covering the three-tier competency framework, Codex-like agent design, agents.md configuration, Skills systems, and core AI architect capabilities.

Xiaomi open-sources MiMo Code with SQLite FTS5-powered cross-session memory, solving AI coding assistants' context loss. Supports multi-Agent collaboration, million-line codebases, and OpenAI-compatible APIs.

Explore how the open-source LLM Wiki project uses a compile-first paradigm to turn dormant local files into a searchable AI knowledge base, compared with traditional RAG approaches.

Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.
Tech FrontiersOpenAI co-founder Greg Brockman takes over product strategy, Cerebras IPO hits $67B market cap, and open-source agents OpenHuman and OpenClack dominate GitHub as AI shifts from capability to deployment.
Industry InsightsLangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
Deep DivesDeep dive into CodeRAG's four core technologies: vector similarity search, file system tools, Code Knowledge Graph (CKG), and DeepWiki — how they work together to help AI coding assistants truly understand enterprise codebases and eliminate hallucinations.
Industry InsightsDeep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.