#DAG task scheduling
91 related articles
·7 min
Electron + LangGraph in Practice: Building an AI Agent Visual Orchestration App from Scratch
A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.
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·6 min
AI Agent Learning Roadmap: A Four-Stage Guide from Beginner to Practical Mastery
A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.
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·2 min
PyTorch Hits 100K Stars: Unpacking the Dominance of the Leading Deep Learning Framework
PyTorch hits 100K GitHub stars, cementing its status as the leading deep learning framework. Explore why developers love PyTorch's dynamic graphs, GPU acceleration, and ecosystem.
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·7 min
A Complete Guide to LangGraph's Core Concepts: The Framework of Choice for Enterprise Agent Development
An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·3 min
AI Agent Fully Automates TV Subtitle Generation: From Audio Extraction to Final Output in One Go
How does AI Agent automate TV subtitle workflows end-to-end? This demo covers audio extraction, ASR, timestamp sync, and line optimization — GLM5 processes a 26-min video in just 10 minutes.
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·2 min
Building an AI Public Opinion Monitoring Platform with 7 Agents: A Full-Stack LangGraph Deep Dive
A deep-dive into an AI public opinion monitoring platform built with LangGraph and LangChain, featuring 7 collaborative agents, ES vector search, email alerts, and automated report generation.
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·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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·6 min
LangChain Open-Sources OpenWiki: Automatically Generate and Maintain AI-Readable Wikis for Your Codebase
LangChain open-sources OpenWiki, a tool that auto-generates and maintains AI-readable wiki documentation for codebases via a single command, powered by Git history and agents.md integration.
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·7 min
Claude Code Command Orchestration: One-Click Content Research and Auto-Publishing
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.
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·4 min
Coze for Beginners: A Complete Guide to ByteDance's AI Application Development Platform
A complete guide to ByteDance's Coze platform: agents, AI apps, workflows, nodes, and plugins explained. Build AI applications with no coding required.
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·4 min
AI Workbench: One-Click Content Creation from Topic Research to Final Output
AI Workbenches automate the full content creation pipeline — from topic research to visual output. Multi-model routing, transparent execution, and reusable workflow templates redefine how creators work.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·6 min
Dify Self-Hosted Deployment in Practice: Building an Enterprise-Grade AI Application Platform from Scratch
A complete guide to self-hosting Dify, the open-source AI platform: environment setup, Docker Compose deployment, LLM integration, and app building. Runs on just 2 cores and 4GB RAM.
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·3 min
Deep Dive into the /goal Command: The Ultimate Tool for Managing Long-Running AI Agent Tasks
A deep dive into the /goal command in Claude Code and Codex — covering positioning, real-world cases, and a three-element Prompt framework (Goal, Termination Condition, Constraint Rules) for stable long-running AI Agent tasks.
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·3 min
Claude Code Source Code Leak: 500,000 Lines of Code Reveal Core Multi-Agent Architecture Design
Anthropic accidentally leaked 500K+ lines of Claude Code TypeScript source via a Source Map misconfiguration, revealing its Coordinator multi-agent architecture, Kairos prediction system, and shadow rollback mechanism.
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·3 min
Claude Code Workflow in Action: 68 Sub-Agents Working Concurrently
Hands-on test of Claude Code's Workflow mode with 68 concurrent sub-agents. Covers setup, write-review separation, real concurrency results, and token costs.
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·4 min
Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid
Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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