#modular design
27 related articles
·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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Full-Stack Development in a Todo App: …
·4 min
Full-Stack Development in a Todo App: 35 Core Technologies Every Programmer Should Know
Using a todo app's full development lifecycle as a guide, this article covers 35 core full-stack technologies from frontend to backend, databases, DevOps, cloud deployment, and scaling architecture.
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ROS2 Robot Development Beginner's Guid…
·2 min
ROS2 Robot Development Beginner's Guide: Career Paths & Salary Prospects
A deep dive into ROS2's nature, applications, learning paths, and career prospects. Covers autonomous driving, robotic arms, and mobile robots with salary data and core technical requirements.
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Rebuilding a Complete GUI App with Dee…
·2 min
Rebuilding a Complete GUI App with DeepSeek for Just $2.50: A Real-World AI Programming Cost Breakdown
A Bilibili creator used DeepSeek V4 Pro via Cursor to rebuild a complete IndexTTS GUI app for just 18.63 RMB (~$2.50). Full breakdown of the AI coding workflow, features, and cost comparison.
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Practical Experience Building an Autom…
·2 min
Practical Experience Building an Automated Development Pipeline with Multi-AI Agent Collaboration
Practical experience building a dev pipeline with multiple AI Agents: three-Agent architecture, Batch API cutting 50% token costs, 24/7 async execution, and the one-person company paradigm.
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·2 min
Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents
Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
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Tutorials·2 min
Getting Started with LangChain for Enterprise Development: Core Modules and Debugging Tools Explained
Detailed guide to LangChain core modules including prompt templates, output parsers, Chain invocation, LCEL expression language, and LangSmith tracing tools for LLM application development.
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Tutorials·2 min
Complete Tutorial: Building AI Apps with Zero Code in Google AI Studio
Learn how to build an AI-powered planning app with zero code using Google AI Studio prompts, covering UI design, task systems, AI assistant integration, and one-click deployment.
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Tutorials·3 min
Digital Worker in Practice: Full Record of Building an Automated Noise Monitoring & Reduction System
How to build an automated noise monitoring & reduction system with a digital worker framework, covering Windows scheduled wake, noise threshold detection, pink noise generation, and ANC challenges.
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Tutorials·3 min
Matt Pocock's AI Coding Workflow: A Complete Methodology from Ideation to Delivery
Deep dive into Matt Pocock's AI-assisted coding workflow: Grill Me consensus building, PRD generation, Tracer Bullet vertical slicing, AFK execution, and Deep Modules architecture design.
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Product Reviews·2 min
Pixel Video: An Open-Source Short Video Automation Tool That Produces Videos in Three Minutes
Pixel Video is an open-source short video automation tool with 15K GitHub Stars, supporting end-to-end automation from scripting and AI visuals to voice synthesis and final output, compatible with GPT, DeepSeek, and more.
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Tutorials·2 min
Control Cloud Code via WeChat: Operate Your AI Coding Assistant by Sending Messages from Your Phone
Guide to Cloud Code's WeChat remote control feature using iLink Bot API. Control your AI coding assistant from your phone with text, image, and file support.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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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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Tutorials·3 min
Claude Code Source Code Analysis: A Complete Breakdown of the Startup and Bootstrap Flow
Deep dive into Claude Code's source code startup and bootstrap flow, from CLI entry's on-demand loading design and REPL startup to sentiment analysis and the Agent Loop prelude.
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Tutorials·3 min
Java + UniApp in Practice: Full-Stack Development of a Stray Pet Rescue Mini Program
A detailed guide on building a stray pet rescue WeChat Mini Program with Spring Boot and UniApp, covering C2C adoption flow, WebSocket chat, and review mechanisms.
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Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
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Tutorials·4 min
Gemini CLI In-Depth Review: Real-World Experience and Tips for a Free AI Coding Tool
In-depth review of Google's open-source Gemini CLI: free tier analysis, comparison with Claude Code & Cursor, real project testing, configuration tips, and open-source architecture insights.
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Tech Frontiers·3 min
Claude Code Source Code Leak: Full Roadmap for Opus 4.7 and Mythos 5 Exposed
Anthropic suffers a major code leak exposing 500K+ lines of Claude Code source, unreleased Opus 4.7, Sonnet 4.8, Mythos 5 models, 44 hidden feature flags, and the full product roadmap.
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Tutorials
Building an AI Behavior Tree from Scra…
·3 min
Building an AI Behavior Tree from Scratch: Python Window Capture Module Development Log
Detailed development log of a window capture module for an AI behavior tree game automation project, covering Python environment setup, OOP refactoring, and modular architecture design.
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