#multi-agent coding
744 related articles
·3 min
Herder: The Open-Source Terminal Tool for Unified Management of Multiple AI Coding Agents
Herder is an open-source terminal multiplexer for macOS and Windows that unifies management of Claude Code, Codex, OpenCode, and other AI coding agents—with persistence and remote reconnection.
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·3 min
The Software 3.0 Era: An AI Programming Evolution Guide for Frontend Engineers
Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.
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·3 min
Coze Agent Development in Practice: From Beginner to Multi-Agent Collaboration
Coze is ByteDance's homegrown agent-building platform. This article covers getting started with Coze, its comparison with Dify, skill system, workflow orchestration, and multi-agent collaboration.
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·3 min
Building AI Agents with Coze: From Beginner to Multi-Agent Collaboration
Coze is ByteDance's homegrown agent-building platform. This article explains getting started with Coze, comparison with Dify, its skill system, workflow orchestration, and multi-agent collaboration.
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·3 min
Getting Started with AI Agent Development: A Learning Path from Zero to Deployment
A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.
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·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
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.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph is a code knowledge graph, PI is an open-source Agent toolbox, and AI Engineering from Scratch teaches from zero.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph builds a code knowledge graph, PI is an open-source Agent toolkit, and AI Engineering from Scratch teaches from the ground up.
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·4 min
Burning Through 80 Billion Tokens: Why Vibe Coding Is Doomed to Fail
A creator spent 40 days and 80 billion tokens testing the real limits of Vibe Coding. This article dissects why AI programming crashes in production: complexity, context limits, and compression loss.
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·3 min
Anthropic's Hands-On Guide: How to Scientifically Choose and Evaluate AI Models
Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.
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·2 min
After Getting Burned by AI Coding for Three Months, I Built WishGraph
After three months of costly AI coding mistakes, a developer built WishGraph: separating discussion and execution into dual windows with parallel multi-agent collaboration to make complex projects manageable again.
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·2 min
Getting Started with Claude Code: Environment Setup, Switching to Domestic Models, and Git Workflow Explained
A complete beginner's guide to Claude Code: from CLI installation and switching to domestic models like DeepSeek via CC Switch, to conversational Git operations, multi-branch management, and automated bug fixing.
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·2 min
Getting Started with Claude Code: Environment Setup, Switching to Chinese Models, and Git Workflow Explained
A complete Claude Code beginner's guide: from CLI installation and switching to Chinese models like DeepSeek via CC Switch, to conversational Git operations, multi-branch management, and automated bug fixing.
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·3 min
AI Project Memory Systems: Building a Continuously Accumulating Context Architecture in Four Stages
As models get stronger, why does the experience feel worse? The root cause is missing context. This article breaks down four stages—project descriptions, progressive disclosure, intra-memory, and three guardrails—to build a sustainable AI project memory system.
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·3 min
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
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.
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·3 min
Zhipu's Mobile AI Agent Tested: A Full Breakdown of the Cloud Phone Approach — Capabilities and Limitations
Hands-on test of Zhipu's mobile AI Agent: using a cloud phone to bypass permission limits, it supports natural language-driven automation. We cover its core mechanics, real performance, app restrictions, and future potential.
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·3 min
Pinterest Medic: Engineering an AI Agent for Automated Spark Failure Diagnosis
How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.
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·3 min
The Rise of General AI: Breakthroughs in Mathematical Reasoning and Competitive Programming
Frontier AI is going general: costs are dropping, general models are beating specialized ones in math and competitive programming, and multi-agent workflows are maturing fast.
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·4 min
Java Developer to AI Architect: A Three-Layer Capability Upgrade Roadmap
How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.
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·4 min
Beyond Vibe Coding: A Complete Guide to Enterprise-Grade AI Engineering
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.
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