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A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

Learn how to connect OpenAI Codex to DeepSeek models via CC Switch, enabling free switching between DeepSeek and GPT with complete setup and routing guide.

Deep breakdown of anonymous trader Serenity's methodology: drilling from market leaders along supply chains, using four hard conditions to identify physical chokepoints, and building a repeatable pipeline with Claude Code.

Learn how the PAO project integrates Bayesian optimization with Aspen Plus via YAML configuration for automated multi-objective chemical process optimization.

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

A detailed hands-on experience with OpenAI Codex Desktop, covering interface features and real-world examples. Free users can try it now with parallel tasks and natural language programming.

AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.

Google NotebookLM launches a Sherlock Holmes notebook template, turning passive note review into interactive deduction games. Learn how the Deduce-Uncover-Prove method enables gamified learning.

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

In-depth comparison of Cursor and Codex AI programming tools — their strengths, ideal use cases, and cost differences. Find out where your $200 is best spent.

Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

Learn how the Grill Me skill uses AI-driven systematic questioning to extract tacit knowledge, with checkpoint mechanisms to optimize context quality and boost first-iteration success from 70% to 90%.

8 free terminal tools—Bat, Eza, Chafa, Zoxide, TLDR, Miru, Yazi, LazyGit—to dramatically boost your Claude Code and AI coding workflow efficiency.

Complete guide to installing and deploying Claude Code, covering Node.js setup, NVM version management, network proxy configuration, and API provider switching.

Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.

Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.

Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.

In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.

Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.