1610 related articles

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.

Google NotebookLM celebrates its anniversary with 1.5 billion notebooks, audio overviews, and slides created. A deep dive into its source-driven AI design, core features, and future direction.

Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.

Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.

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.

Complete guide to OpenAI Codex setup: CLI installation, VS Code extension config, Agents.md best practices, MCP integration, and programmatic usage for efficient AI coding workflows.

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.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

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.

Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.

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.

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.

A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.

Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.

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.