#pip install requirements.txt
21 related articles
·4 分钟
A Guide to Full-Stack Machine Learning Project Repository Structure: From Chaos to Convention
A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and externalized configuration to help ML developers move from experimental code to production-grade engineering standards.
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·4 分钟
Full-Stack Machine Learning Project Repository Structure Guide: From Chaos to Convention
A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and configuration externalization to help ML developers move from experimental code to production-grade engineering.
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·4 分钟
From Solo Analyst to Team Data Platform: A Practical Guide to Leveling Up Your Tech Stack
How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.
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·6 分钟
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·3 分钟
Build a Flask Visual Database Query System in 20 Minutes with Trae
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.
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·3 分钟
Gemini New API Keys Not Working? AQ__ Format Compatibility Troubleshooting Guide
Gemini new API keys (AQ__ prefix) returning 401/400 errors in Python? Learn the key format differences, SDK compatibility issues, and fixes including upgrading google-genai.
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·2 分钟
Reproducing GitHub Projects from Scratch: A Complete Guide to Environment Setup and Practical Pitfall Avoidance
Reproducing GitHub projects isn't just git clone. This guide covers project evaluation, conda setup, dependency installation, running .sh scripts on Windows, and debugging tips.
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·4 分钟
A Guide to Avoiding Pitfalls in PCA Visualization of Self-Supervised Vision Models: Why the Colors Are Meaningless
Running self-supervised vision models (SSL) on a MacBook CPU isn't hard. This article reveals the core misconception of PCA visualization through ViT-S experiments: colors can't convey semantics across images, and changing resolution reverses hues entirely.
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·4 分钟
AI Coding Security: A CLI Tool Designed to Block Vulnerable Dependencies for Agents
AI coding assistants (Copilot/Cursor/Claude Code) frequently introduce vulnerable dependencies and hallucinate package names. This post analyzes an Agent-native CLI security tool and the shift-left security philosophy for AI-era supply chains.
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·2 分钟
Troubleshooting Dependency Conflicts in AI Agent Projects: A Hands-On Environment Setup Guide
Learn how to resolve dependency conflicts when setting up AI Agent projects — covering pip list audits, handling selenium version issues, and using Chinese PyPI mirrors.
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·2 分钟
Dify + MCP in Practice: Building Enterprise-Grade Role-Specific AI Copilot Workflows
A hands-on guide to building enterprise AI copilot workflows using Dify and MCP. Covers tool integration, parameter passing, code execution, and MCP version compatibility pitfalls.
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·7 分钟
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·7 分钟
Building an AI Agent from Scratch: Implementing Core Conversational Agent Features in Python
Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.
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·5 分钟
Reproducing GitHub Projects from Scratch: A Practical Step-by-Step Guide
A complete guide to reproducing GitHub projects from scratch: due diligence, virtual environments, dependency installation, script interpretation, and breakpoint debugging — helping grad students and junior developers run others' code efficiently.
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·7 分钟
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
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·3 分钟
Essential for AI-Powered Coding: Keep Your Git Repository Clean with .gitignore
Learn essential .gitignore techniques for AI-powered coding. Covers AI temp files, system files, and dependencies with ready-to-use Node.js and Python templates.
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·3 分钟
Building a Cold Chain Logistics Optimization Research Project with Codex: A Complete Workflow from Scratch to PDF Paper
Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.
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·4 分钟
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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教程攻略·3 分钟
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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产品体验·2 分钟
AI Coding Real-World Test: GPT-5, Gemini 2.5 Pro, Kimi K2, and Grok 4 All Fail at Web Scraping
Real-world test using Cursor IDE: GPT-5, Gemini 2.5 Pro, Kimi K2, and Grok 4 all fail at static web scraping while Claude leads with 126 pages. Deep analysis of why top AI models struggle.
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