#FastAPI
99 related articles
·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
Core Analysis of Agent Skill: Progressive Disclosure & Middleware Practical Guide
Deep dive into Agent Skill's core design—Progressive Disclosure—with detailed middleware and dynamic tool implementation, Multi-Agent comparison, and practical tips.
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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
Python Excel Automation in Practice: Data Filtering and Categorization with Pandas
Learn how to use Python Pandas to automate Excel data filtering and categorization. Core code is just 6-8 lines — handle massive datasets effortlessly.
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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
Complete Guide to Connecting UE 5.8 with MCP Server: Codex Plugin Configuration Explained
Complete guide to connecting Unreal Engine 5.8 with MCP Server, covering UE 5.8 installation tips, VS Code Codex plugin setup, API key configuration, and MCP Server launch.
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·2 min
The Codex Power User Guide: 10 Tips to Make AI Actually Do the Work for You
Master 10 power-user tips for OpenAI Codex: from assigning tasks and phased planning to automated testing and code reviews. Make AI Agents truly work for you.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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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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·3 min
AI Agent Development Learning Roadmap: A Four-Stage Guide from Zero to Production
A systematic AI Agent development roadmap covering core concepts, ReAct paradigm principles, multi-agent collaboration, and hands-on projects across four stages to master agent development in 2-3 months.
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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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·3 min
CrewAI Multi-Agent Collaboration in Practice: A Complete Guide from Setup to API Service
A detailed guide to CrewAI multi-Agent collaboration covering core concepts, FastAPI service setup, and real-world comparisons of GPT-4o Mini, Qwen Max, and Llama 3.1.
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·3 min
Complete Guide to Pi Coding Agent: Building Customized AI Programming with Minimalist Four Tools + Extension System
In-depth guide to Pi Coding Agent: its four core tools, extension system development, Skills management, and detailed comparison with Claude Code for building customized AI programming workflows.
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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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