#FastAPI backend architecture
55 related articles
·3 min
Harness Engineering in Practice: A Guide to Enterprise-Grade Multi-Agent System Architecture
A deep dive into Harness Engineering architecture: building an AI procurement assistant on ERP systems, covering multi-agent orchestration, MCP protocol, ASGI deployment, and sandbox isolation.
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·2 min
FastAPI Fundamentals: Web Development Patterns, API Interfaces, and RESTful Standards Explained
Learn FastAPI fundamentals: frontend-backend separation, what API interfaces really are, and how RESTful standards work. Essential groundwork for Python backend development.
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·3 min
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.
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·2 min
Getting Started with FastAPI: Understanding Frontend-Backend Separation and RESTful API Design
Learn FastAPI from the ground up: understand frontend-backend separation, Starlette's ASGI architecture, and RESTful API design before writing a single line of code.
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·3 min
Cursor AI in Action: Building a RAG-Powered AI Customer Service WeChat Mini Program Store from Scratch
Learn how to build a full-stack AI e-commerce system with RAG-powered customer service using Cursor AI, LangChain, FastAPI, Vue3, and WeChat Mini Program.
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·3 min
LangGraph Beginner's Guide: Core Advantages, Deployment Options, and Complete Learning Path
A comprehensive guide to LangGraph's core advantages, storage mechanisms, differences from LangChain, and private deployment options for building production-ready AI agents.
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·3 min
Vibe Coding in Practice: A Complete AI Programming Guide for Non-Developers
A complete guide to Vibe Coding's three stages, Cursor tool selection, and hands-on workflow—helping non-programmers and professionals master AI programming for multiplied productivity.
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·4 min
Three Modes of AI Development: A Complete Guide from Chat to Agent to IDE
A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.
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·2 min
GitHub Copilot SDK Deep Dive: Core Features and Practical Guide
Deep dive into GitHub Copilot SDK: Agent Loop, Hooks lifecycle control, Custom Agents orchestration, Skills modules, and local model integration for AI app development.
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·3 min
Cursor in Action: Building a Library Management System in 15 Minutes — Full Walkthrough
Full walkthrough of building a FastAPI + Vue3 library management system in 15 minutes with Cursor AI, covering structured prompts, Plan & Build strategy, and bug fixes.
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·3 min
LangGraph Beginner's Guide: Core Advantages, Common Misconceptions, and Deployment Practices Explained
A comprehensive guide to LangGraph's three core advantages, its relationship with LangChain, short-term and long-term storage mechanisms, and deployment strategies for development and production environments.
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·3 min
Five Common Claude Code Mistakes — How Many Are You Making?
Five common Claude Code mistakes developers make: copy-pasting code, skipping CLAUDE.md, inefficient prompting, ignoring docs, and poor context management — with fixes.
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·4 min
The Complete AI App Development Workflow: Six Steps from Idea to Launch
A complete guide to building apps with AI coding tools, covering product docs, prototyping, full-stack development, database design, project management, and testing — no coding required.
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·2 min
Building a Weather Data Visualization & Prediction System with Cursor in 40 Seconds
Learn how Cursor AI built a weather data visualization & prediction system in 44 seconds, covering frontend-backend architecture, prompt engineering, and tips for graduation projects.
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·4 min
Cursor Programming Tool In-Depth Review: Core Features and Use Cases of an AI-Native IDE
In-depth review of Cursor's four core features: AI-native design, smart code generation, context awareness, and multi-model support, with a six-dimension comparison against traditional IDEs.
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·2 min
PyCharm 2026.1 Deep Dive: Native AI Coding Assistant & Legitimate Licensing Guide
Deep dive into PyCharm 2026.1: native Claude AI integration, competitive analysis vs Cursor, official free and paid plans, and why to avoid pirated cracks.
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·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.
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·2 min
CodeGraph: Give Your Coding Agent a Code Map, Save 47% Tokens
CodeGraph is an open-source project with ~40K GitHub stars that uses Tree-sitter to build a local queryable code map, helping Claude Code and Cursor reduce 47% token usage and 58% tool calls.
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·4 min
Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness
Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.
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·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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