#agent learning path
1735 related articles
Tutorials·3 min
Claude Code Source Code Study Guide: Efficiently Mastering Core AI Agent Development Architecture
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
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Product Reviews·2 min
AI Tool Rankings for Solo Businesses: Top Picks, Alternatives & Open-Source Options Across 7 Categories
A complete AI tool matrix for solo businesses across 7 categories—Text, Image, Video, Audio, Digital Avatars, Coding & Agents—with top picks, alternatives, and open-source options.
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Tutorials·3 min
Indie Game AI in Practice: Building a Slime Combat System with Soul
A detailed breakdown of building a complete slime combat AI for indie games, covering FSM architecture, multi-attack modules, group AI pursuit mechanics, and animation synchronization.
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Tutorials·1 min
Build AI Agents from Scratch: A Practical Guide to the Coze Platform
Learn how to build AI agents with zero coding on ByteDance's Coze platform. Covers 10 hands-on projects including DeepSeek-WeChat integration, auto-emails, and poster/PPT creation.
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Industry Insights·3 min
AI Fully Automated Orchestration in Practice: How Software Production Costs Are Being Completely Disrupted
Deep analysis of AI fully automated software orchestration: from Claude Code workflows to parallel orchestration strategies, exploring how models like MiniMax M1 drive software production costs toward zero.
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Industry Insights·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Tutorials·2 min
Dify 1.8.0 Hands-On Tutorial: Complete Guide from Deployment to Building AI Applications
A detailed guide to Dify 1.8.0 Docker deployment, environment setup, and AI app building. Covers five app types, comparisons with Coze, workflow creation, and more for this open-source AI platform.
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Tutorials·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
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Tutorials·3 min
AI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
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Tutorials·2 min
How to Choose an AI Coding IDE: A Complete Comparison of Cursor, Trae, and Windsurf
A detailed comparison of mainstream AI coding IDEs including Cursor, Trae, and Windsurf, covering Auto mode, Codex integration, and more to help developers at all levels find the best AI coding tool.
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Deep Dives·3 min
memU Memory Framework Explained: Unifying Multi-Modal Agent Memory with a File System
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
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Tutorials·3 min
AI Programming in Practice: A Complete Breakdown of Building a Website from Scratch in 7 Days
A developer used Claude Code and DeepSeek to build and deploy a complete website from scratch in 7 days. 99% AI-written code, AI-generated data, with full process breakdown and cost analysis.
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Tutorials·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Deep Dives·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
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Tech Frontiers·3 min
Generic Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
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Tutorials·2 min
Why Qwen3 Is the Best Open-Source Model for MCP Agent Development
Analysis of Qwen3's advantages for MCP agent development, comparing DeepSeek R1's lack of Function Calling, covering MoE architecture and thinking mode switching.
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Tutorials·2 min
Learning AI Large Language Models from Scratch: A Guide to Learning Paths, Hardware, and Programming Languages
A beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
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Product Reviews·2 min
Cursor 2.0-2.3 Core Evolution: AI Programming Enters the Era of Fleet Command
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
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Tech Frontiers·2 min
Meta Muse Spark Released: A Comprehensive Analysis of the Native Multimodal Reasoning Model
Meta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
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