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A practical guide to Claude Code for test development: auto-generating test scripts, Plan Mode workflows, MCP + Playwright integration, and Subagent parallel tasks to build systematic AI-assisted workflows.

A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.

Hands-on review of Readdy AI's three website building modes, focusing on style cloning, editing capabilities, smart assistant, and pricing strategy.

A detailed guide to deploying Hermes Agent on VPS with Docker, integrating Telegram Bot, configuring scheduled tasks, and scaling with multi-agent strategies.

Anthropic's first London Code with Claude event unveiled Opus 4.7, Mythos, Cloud Managed Agents, Claude Code Routines, and more for AI-assisted development.

Hands-on comparison of GPT-5.2 Codex vs Opus 4.5 across frontend generation, physics simulation, 3D scenes, and code refactoring, with practical selection advice.

A hands-on guide to using GPT 5.5, Gemini 3.1 Pro, and Grok 4.2 for free via AI aggregator platforms, covering cross-model context memory, account pool mechanisms, and key security risks.

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.

Detailed guide to SparkWinShape tool's core features and tutorial, including Windsurf auto account switching, multi-instance setup, probe detection, compliance risks, and alternatives.

Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.

In-depth comparison of four AI Super Apps — Cursor, Codex, Claude Desktop, and Anti-Gravity — across 11 dimensions to help you find the best AI dev tool.

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.

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.

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.

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

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%.