#FastAPI AI
127 related articles
·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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·4 min
Complete Beginner's Guide to Cursor AI: Three Modes Explained with Hands-On Demo
Learn Cursor AI editor setup, Agent/Ask/Manual modes, model selection tips, and build a full student management system from scratch in this step-by-step guide.
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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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·3 min
What Is Cursor? Core Advantages and Complete Usage Guide for the AI-Native Programming Tool
Deep dive into Cursor AI programming tool's four core features, six-dimension comparison with traditional IDEs, and target audience analysis. Learn how this AI-native IDE boosts coding efficiency.
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·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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Tutorials·3 min
Cursor Beginner's Guide: Four AI Modes & Hands-On Project Demo
A detailed guide to Cursor AI's download, installation, interface layout, four AI modes (Agent/Plan/Debug/Ask), and a hands-on demo showing how beginners can generate complete projects using natural language.
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Tutorials·3 min
Complete Guide to Building AI Agent Projects with WindSurf: Practical Tips & Techniques
Complete practical guide to building AI Agent Frameworks with WindSurf, covering technology selection, component generation, code refactoring, debugging, and deployment tips.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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