#modular design
661 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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Tutorials·3 min
AI Programming Spec Sheets: 30 Lines of Configuration Saves Five Rounds of Rework
Replace vague prompts with spec sheets—30 lines of config gets AI coding right the first time. Covers the six-element framework, three-tier boundaries, and three iron rules to eliminate rework.
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Tutorials·2 min
Building an Agent Framework from Scratch: Breaking Down the Four Core Modules with Code Implementation
Learn how to split AI Agent capabilities into four modules—Tool Registry, Message Store, Agent Runtime, and Built-in Tools—and build a reusable, extensible Agent framework using Python decorators.
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Product Reviews·2 min
Indie Developer Uses AI for Game Development: Cutscenes Done in Just 5 Minutes
An indie game developer shares practical experience using AI tools for game development, including generating cutscenes in 5 minutes with AI, implementing AAA-level character animations, and building a complete AI music, voice, and animation workflow.
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Industry Insights·2 min
Cisco Partners with OpenAI Codex: Three Core Scenarios for Enterprise AI Engineering
Cisco partners with OpenAI to bring Codex into enterprise engineering, covering AI-native development, AI Defense security acceleration, and automated bug fixing.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Graph Structure Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
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Tech Frontiers·3 min
Tech Weekly: OpenAI Swarm Framework, Claude Data Visualization & Lightweight OS Analysis
This week's tech roundup analyzes OpenAI's Swarm Agent framework, Anthropic's Claude data visualization app, Kali Linux, Unikraft lightweight OS, and Go Blueprint — covering AI, security, and cloud computing.
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Tutorials·3 min
Cursor AI Beginner Tutorial: Rules Configuration & Agent Mode Practical Guide
Complete guide to Cursor AI installation, rules file configuration, and Agent mode in action. Master project-level and global rules setup to drive AI programming with natural language and boost coding efficiency.
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Deep Dives·3 min
Claude Sub-agents vs Agent Teams: How to Choose Between Two AI Multi-Agent Collaboration Patterns
Deep comparison of Claude sub-agents vs agent teams: architecture differences, use cases, and real-world results. A Pokémon RPG case study shows how agent teams achieve 95%+ feature completeness.
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Tutorials·2 min
Complete Breakdown of Andrew Ng's LangChain Course: Five Core Components and Hands-On Guide
Deep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
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Tutorials·3 min
Open-Source Multi-Agent Intelligent Diagnostic System: Deep Dive into MCP + RAG + Skill Routing Architecture
Deep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Deep Dives·3 min
Why Pure Vector Search Fails at Precision: A Deep Dive into Enterprise Hybrid Retrieval Architecture
Deep analysis of why vector search fails at exact keyword matching, with a breakdown of enterprise hybrid retrieval architecture for RAG: keyword search as safety net, vector search for UX, RRF fusion, and query routing.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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Tutorials·3 min
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
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Tutorials·3 min
Agent Skills Decision Trees: Enabling Autonomous Decision-Making for AI Coding Assistants
Learn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
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Product Reviews·2 min
TangPing.skill: An Open-Source Meme Project That Teaches AI Agents to Slack Off
TangPing.skill is an open-source AI Agent Skill on the OpenClaw ecosystem that teaches AI to "lie flat." Explore its hot-loading mechanism, lightweight Skill distribution, and what it reveals about AI Agent ecosystems.
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Tutorials·3 min
Efficient PyTorch Learning: A Source Code-Driven Methodology
A proven PyTorch learning method: spend 2-3 days on basics, then advance rapidly by reading U-Net and ViT source code line by line. Master PyTorch through source code-driven learning.
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Tutorials·2 min
Vibe Coding in Practice: Building a Mini-OpenClaw Agent from Scratch Without Writing Code
Learn how to build a Mini-OpenClaw Agent framework using Vibe Coding with zero code, covering OpenClaw's architecture, LangChain integration, and AI-assisted development workflows.
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