84 related articles

Confused by the overwhelming number of ML courses? This guide covers Udemy course evaluation, top free resources, and an actionable beginner learning path.

Exploring the core principle of separating object identity from representation in software design, covering interfaces, ECS, DDD, and distributed systems.

A developer spent a month testing 4,265 Claude Code/Codex sessions, revealing why local Agents crash on consumer hardware: tool lists consume 41% of cache, q4_0 quantization traps, and eviction strategy ceilings of only 11.88%.

Virgin Atlantic deploys ChatGPT Enterprise, using Codex to build custom dashboards, integrate multi-source data, and compress weeks of analysis into hours, accelerating product development and CX decisions.

Compare Codex and Claude Code AI agent programming tools. Learn AI Agent concepts, tool selection, cost analysis, and GPT account setup in this complete beginner's guide.

last30days-skill is a GitHub AI Agent skill with 50K+ Stars, enabling cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.

last30days-skill is a 50K+ Star AI Agent skill on GitHub that performs cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.

Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.

Learn how Bilibili creator JK built an AI-automated topic selection system using Codex and Feishu — covering the three-dimension method: practice, trending topics, and benchmarking.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

Java, Python, Go, or a niche language? This article rationally analyzes programming language selection across three dimensions — probability, difficulty, and growth potential — to help you escape language-choice anxiety.
Kronos Financial Foundation Model: Usi…
Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.

A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.

Why do AI results vary so dramatically? LangChain V1.3 reveals the answer: engineering mindset. Covers LangGraph, Deep Agent, RAG, Time Travel, and more.

TradingAgents-astock is a multi-agent A-share research framework with free domestic data sources, seven debating analyst agents, and support for DeepSeek, Qwen, and more.

Should low-usage teams rent or buy GPUs? Based on real billing data, we break down hardware costs, electricity, and hidden time losses to help small teams decide.
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.

AI bills keep soaring? This article breaks down two core cost-reduction strategies: intelligent routing via an LLM Gateway, and context compaction to cut Token usage—no major refactoring needed.