91 related articles

A step-by-step guide to building a Python student management system from scratch using the AI editor Cursor with Claude. Covers Agent, Ask, and Manual modes, model selection, and the full workflow.

Why do some still feel lost after 4 years of coding? Break down the three-stage computer learning method: build fundamentals, pick a direction, learn by doing.

An in-depth look at an intelligent paper writing platform built on FastAPI + Vue 3, combining LLM, RAG, and multi-Agent collaboration for full-process automation—an excellent case study for AI developers.

A complete guide to Dify, the open-source AI application platform: its core positioning, key differences from Coze, workflow-building capabilities, and enterprise private deployment advantages.
GitHub Daily · July 24: Agentic Tools …
GitHub Trending July 24: Agentic capabilities go from concept to standard feature. Instatic and Chat2DB deeply integrate AI into CMS and database clients, while dive-into-llms remains the go-to Chinese LLM tutorial.
GitHub Daily · July 24: Agentic Tools …
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.

Learn the core concepts behind FastAPI: frontend-backend separation, API interface design, and RESTful specification. Master resource-oriented design before writing your first line of code.

Connect your local Zotero library to AI via MCP protocol to eliminate hallucinated citations. Full guide covering UV, Zotero setup, and OpenCode with free DeepSeek.

Learn how to use Trae, ByteDance's free AI coding tool, to build a Flask-based visual database query system (EasyQuery) in just 20 minutes. Full walkthrough included.
GitHub Daily · July 19: The Dual Advan…
GitHub Trending July 19: ktransformers tops the list with heterogeneous inference optimization, while jcode, cua, and AstrBot signal a maturing Agent ecosystem.

A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.

How can Java developers break into AI? This guide covers the AI application engineer career path, RAG knowledge base fundamentals, vector database retrieval, and enterprise-grade RAG challenges.

AI/ML students unsure which career path to pursue? Compare AI engineering, SDE, PM, and UI/UX in depth — with honest entry barriers and a practical self-assessment framework.

How should a CS+Stat junior efficiently prep for data/ML internships? We break down the real market gap, skill priorities, and a focused 3-month strategy.
AI Tool Selection for Agronomy Master'…
How should agronomy master's students choose AI tools for ML-based hydroponic crop phenology prediction? Compare ChatGPT Plus, Claude Pro, GitHub Copilot, and more.

LangChain V1.3 course deep-dive: why engineering thinking beats tool-chasing. Covers RAG accuracy myths, Token cost control, and LangChain/LangGraph/Deep Agent breakdowns.

An in-depth look at LangChain V1.3's core philosophy: from RAG to multi-agent workflows. Master LangGraph, Chain, and DeepAgent, learn token control and Human-in-the-loop, and become a true master of AI app development.

A comprehensive guide to preparing for the National Mathematical Modeling Contest: covering the essence of modeling, judging rules, topic selection, AI usage guidelines, and a four-day schedule to boost your chances of winning.

A self-learner completed a full progression from math foundations and core ML to deep learning in 6 months—hand-writing a Transformer and implementing gradient boosting from scratch. This article breaks down the highlights and blind spots of this real roadmap.

A real case study of an agriculture student breaking into AI: how to start with CS50 and systematically master Python, machine learning, and MLOps skills, with a three-phase transition plan for self-learners.