#CrewAI Dify
135 related articles
·3 min
AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
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·4 min
MCP vs Function Calling: Core Differences and Selection Guide
Deep dive into 3 core differences between MCP and Function Calling: coupling, interaction breadth, and security. Learn why AI needs a unified protocol and how to choose the right approach.
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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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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·3 min
Learning AI Agent Development from Scratch: A Beginner's Path and Monetization Guide
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
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·3 min
A Practical Guide for Agent Engineers: The Three-Phase Core Methodology for AI Programming
Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.
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·4 min
OpenAI Codex Pixel Identicons: A Visual Identification Solution for Multi-Agent Collaboration
OpenAI introduces Pixel Identicons for Codex background agents, using stable visual identifiers to solve multi-agent recognition challenges and reduce cognitive load in AI programming workflows.
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·4 min
Five Common Misconceptions in AI Agent Development: An Essential Guide Before You Start
Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.
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Tutorials·2 min
Multi-Agent Collaborative Novel Writing: A Practical Tutorial from Template Setup to Continuous Creation
Learn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
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Product Reviews·4 min
Lark CLI: A Deep Dive into Feishu's Open-Source AI Agent Command-Line Tool
Lark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
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Tutorials·2 min
AI Agent Team Automating Short-Video Production: A Complete Workflow from Raw Material to Publishing
Learn how multiple AI Agents form a collaborative team to automate short-video production end-to-end—from material mining and script generation to video packaging and cross-platform RPA publishing.
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Tutorials·3 min
Deep Dive into ByteDance's Codex Chinese Manual: A Complete Guide Across Ten Chapters
Deep analysis of ByteDance's Codex Chinese manual covering environment setup, MCP workflows, Skills encapsulation, and multi-Agent collaboration across ten chapters for developers.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Tutorials·3 min
Claude Code with GLM 4.6: A Guide to Deploying a Programming Agent with Chinese Domestic Models
A detailed guide on deploying Claude Code programming Agent with Zhipu GLM 4.6, covering installation, model replacement, commands, thinking modes, and SubAgent parallel development.
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Product Reviews·2 min
OpenDesign Open-Source AI Design Engine: Dissecting the Orchestration Layer Architecture Behind 45K GitHub Stars in One Month
Deep dive into OpenDesign's three-layer orchestration architecture: agent detection, 30+ composable design skills, and 72 brand design systems. Compared with Claude Design and Figma for rapid prototyping.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Product Reviews·3 min
OpenSwarm Hands-On: Open-Source Multi-Agent System Generates Complete Investment Package from a Single Prompt
Deep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
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Tutorials·3 min
Hermes Orchestrating DeepSeek + MiniMax Dual-AI Collaborative Coding: A From-Scratch Project Test
Testing Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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