#modular development
580 related articles
·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
Read more →
·3 min
What Is an Agent Skill? Core Structure and Hands-On Beginner's Guide
A detailed guide to AI Agent Skills: core concepts, four key components (skill.md, references, scripts, assets), Skill vs. prompt comparison, and a practical path to building Agent capability packages from scratch.
Read more →
·3 min
Andrew Ng's New Course: A Complete Guide to Enhancing RAG with Knowledge Graphs
Deep dive into Andrew Ng's Knowledge Graphs for RAG course with Neo4j. Learn how knowledge graphs overcome traditional RAG limitations to enable cross-document relationship reasoning.
Read more →
·3 min
Minimax M3 vs DeepSeek V4 Hands-On Test: Who Builds a Better Dino Run Game?
Hands-on comparison of Minimax M3 and DeepSeek V4 Pro building a Dino Run game from the same prompt, revealing how native multimodal AI changes game dev.
Read more →
·3 min
DeepSeek + Claude Code: A Deep Dive into How AI Automatically Builds Simulink Models
A deep dive into how DeepSeek and Claude Code automatically build Simulink models, explaining the roles of five core tools and their collaboration logic.
Read more →
·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
Read more →
·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
Read more →
·3 min
Android Skills Explained: An Open-Standard Instruction Set System for AI
Deep dive into Google's Android Skills open standard: how this AI instruction set uses structured Markdown files to solve LLM training data lag, covering XML-to-Compose migration, Navigation 3, and custom authoring best practices.
Read more →
·3 min
GitHub Copilot Skills in Practice: Making AI Automatically Follow Your Coding Standards
Learn how to create and use GitHub Copilot Skills by writing coding standards into skill.md files, enabling AI to auto-load team conventions and save tokens.
Read more →
·1 min
Andrew Ng Partners with Anthropic to Launch Agent Skills Course: Build Once, Deploy Anywhere
Andrew Ng and Anthropic launch the Agent Skills course, teaching how to package domain expertise into reusable Skill modules for build-once, deploy-anywhere AI Agents.
Read more →
·3 min
From Tokens to Agents: A Deep Dive into the Core Logic Behind AI's Key Concepts
A systematic breakdown of core AI concepts — Token, RAG, Agent, MCP, Function Call — tracing the evolution from probabilistic text prediction to autonomous agents.
Read more →
·2 min
Andrew Ng's Agent Skills Tutorial: A Complete Guide to Teaching AI Agents New Skills
A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.
Read more →
·3 min
OpenAI Researcher: Spec Documents Are the Real Code
OpenAI researcher Sean Grove argues code is only 10-20% of value—spec documents are the real source code. From Vibe Coding insights to model alignment, why writing specs will be the scarcest skill in the AI era.
Read more →
·5 min
CherryStudio + MCP: Tutorial for Building Automated AI Agents and Local Knowledge Bases
Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.
Read more →
·3 min
NestJS + LangChain: A Practical Guide for Frontend Engineers Transitioning to AI Full-Stack Architecture
How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.
Read more →
·2 min
Create Now Review: Can You Really Build Apps with Natural Language and Zero Coding Experience?
In-depth review of Create Now's AI software development tool: intelligent requirements discovery, modular development, visual iteration, and one-click deployment. Can zero-experience users turn ideas into real software?
Read more →
·2 min
Duel Agents: Multi-AI Agent Competition Mechanism That Automatically Selects the Most Cost-Effective Coding Solution
Duel Agents uses multi-model parallel competition and recursive task decomposition as a routing layer before tools like Claude Code, automatically selecting the most cost-effective AI coding result with claimed 70% savings.
Read more →
·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%.
Read more →
·4 min
Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?
Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.
Read more →
·3 min
OpenAI Codex App In-Depth Review: Streets Parallel Development and Five Core Features Explained
In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.
Read more →