421 related articles

A deep dive into Loop Engineering for AI Agents — what loop feedback mechanisms are, how they differ from Harness Engineering, and a complete guide from principles to production implementation.

Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.

Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.

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.

DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.

CodeBurn is a privacy-first local tool for analyzing AI coding costs. It supports 31 tools including Claude Code, Cursor, and Codex, breaking down spending by model, project, and task to eliminate hidden waste.

A deep dive into Palantir's five-layer Agent-Ontology architecture: how Context, Query, Logic, Action, and Governance layers work together to enable governed enterprise AI Agents, with a live demo.

Zhipu AI's GLM open-source model approaches top closed-source models at 15% of GPT-5.5's cost. HBM shortages fuel AI inflation, and space data centers emerge as a serious compute play.

Master OpenAI Codex CLI from setup to enterprise use: slash commands, AGENTS.md, MCP protocol, multi-agent coordination, plugin development, and RAG project implementation.

Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.

Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.

GPT Image 2 hands-on review: near-flawless poster text layout and automatic character breakdown with Chinese annotations. Deep analysis of core capabilities, comparison with Nano Banana, and risk assessment for access channels.

MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.

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.

In-depth analysis of AI aggregator platforms claiming free access to GPT, DeepSeek, and Gemini. Reveals hidden data risks, business logic, and recommends legitimate alternatives like OpenRouter and Poe.

A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.

Deep dive into n8n, the open-source workflow automation platform: 400+ integrations, native AI capabilities, and dual code/visual modes. Covers deployment, AI Agents, community templates, and more.
Google Gemini Daily Brief Tips: Setup …
Master Google Gemini Daily Brief with 3 key tips: thumbs up/down feedback, chat-based tuning, and source verification to build your personalized AI morning briefing.
Six Practical AI Automation Agent Use …
An in-depth analysis of six AI Agent automation tools covering project management, information aggregation, brand monitoring, sales support, file organization, and meeting prep for real-world workflows.