#FastAPI deployment
85 related articles
·7 min
The Complete Guide to OpenCode: Installing, Configuring, and Using the Terminal AI Coding Assistant
An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.
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·3 min
CrewAI + FastAPI in Practice: Building a Multi-Agent Collaborative Application
Learn CrewAI's core concepts (Agent, Task, Process, Crew, Pipeline) and how to wrap a multi-Agent service with FastAPI. Covers GPT, Qwen, and Ollama local model integrations with real benchmark comparisons.
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·4 min
Frontend to Full-Stack AI: A Complete NestJS + LangChain Roadmap
Pure frontend roles are shrinking fast. Learn how mastering NestJS and LangChain AI agent development can unlock a 20–30% salary boost on your full-stack AI transition path.
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·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
Getting Started with LLMs: A Complete Roadmap from Zero to Practice
How to learn LLMs from scratch? This guide covers personalized learning paths for 3 types of learners, hardware tips (16GB RAM is enough), Python prep, and cloud GPU options.
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·2 min
Why Banks and Hospitals Must Use Local AI: A Complete Guide to Private Large Model Deployment
Why do banks and hospitals build Local AI instead of using cloud services? This guide covers the full tech stack — Ollama, RAG, vector databases — and real-world enterprise deployment use cases.
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·4 min
MCP Practical Tutorial: From Server Development to Multi-Client Integration
A complete MCP practical guide using the official Python SDK — covering environment setup, FastMCP server development, Inspector debugging, and multi-client integration with Cursor and Cline.
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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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·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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·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 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
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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·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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·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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·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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