#sandboxed code execution
97 related articles
·6 min
From Vibe Coding to AI Engineering: A Complete Practical Guide to Codex and Claude Code
An in-depth analysis of the practical use of Codex and Claude Code, comparing Vibe Coding and AI engineering, covering Super Power plugins, Spec-Driven Development, and Chinese LLM integration strategies.
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·5 min
Claude Sonnet 5 Integrated with Devin: Enhanced Coding Performance with 30% Lower Quota Consumption
Anthropic's Claude Sonnet 5 launches on Devin Desktop and CLI, delivering frontier-level coding performance while reducing quota consumption by ~30% compared to the previous generation.
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·2 min
Andrew Ng on AI Agent Planning Pattern: How LLMs Autonomously Create Execution Plans
Andrew Ng explains the AI Agent Planning Design Pattern: how LLMs autonomously create step-by-step execution plans using tools, with real-world examples and current limitations.
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GPT-5.5 and Codex: The Paradigm Shift …
·4 min
GPT-5.5 and Codex: The Paradigm Shift from Executor to Director in AI Programming
Deep analysis of an OpenAI interview: how GPT-5.5's multimodal creativity breaks new ground, and how Codex multi-agent workflows are reshaping software development — from executor to director.
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·3 min
Getting Started with Claude Code: A Beginner's Guide to AI-Powered Programming
Claude Code is Anthropic's CLI-based AI coding assistant that reads entire codebases, auto-fixes bugs, and generates accurate code. Compare it with Copilot, Cursor, and Trae.
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·7 min
AI Agent Practical Guide: From Content Generation to Enterprise Applications
A deep dive into AI Agent's two core directions: 2C content generation (text/images/video) and 2B enterprise applications (RAG/AutoGen/LLM integration). With real startup cases and practical methods.
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·7 min
Agent Loop Explained: The Core Runtime Mechanism and Think-Act Cycle of AI Agents
Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.
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·4 min
Ali Abdaal's Complete Hands-On Guide to Building AI Tools with Claude Code
YouTuber Ali Abdaal shares 3 months of Claude Code experience, building a YouTube tracker, Slack bots, and AI tools from scratch with his AI Flywheel method.
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·3 min
The Essential Difference Between Agent Skills and MCP: Process Layer vs. Capability Layer
Deep dive into the essential difference between Skill and MCP in AI Agent development. Skill handles the process layer for codifying workflows; MCP handles the capability layer for connecting external systems.
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·3 min
AI Skills System: A Practical Guide to On-Demand Capability Loading for Agents
Deep dive into the AI Skills system architecture and execution flow, covering Skill.md dual-layer design, skill scanning and matching, on-demand loading, and practical integration methods.
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·3 min
OpenAI Codex Deep Dive: The Leap from ChatGPT to an AI Coding Agent
Deep dive into OpenAI Codex vs ChatGPT: how AI coding agents autonomously write code, fix bugs, and run tests, and why developers must master this new tool.
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·3 min
Running Low on Codex Credits? Offload Planning Tasks to ChatGPT to Save Tokens
Learn how to use the Codex Pro open-source project to offload Token-heavy planning tasks to ChatGPT while Codex handles local execution, optimizing your AI coding workflow.
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·3 min
Three Paradigm Shifts in LLM Interaction: From Website to Desktop App to Team Member
Explore the three paradigm shifts in LLM interaction: from ChatGPT as a website, to desktop apps, to autonomous AI team members that collaborate asynchronously with humans.
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·3 min
Trae AI Coding Tool: Complete Guide to Download, Installation, and Getting Started
Complete guide to ByteDance's Trae AI editor: core features, download & installation, Python setup, and AI chat coding. Free, Chinese-native, no VPN needed.
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·3 min
Anthropic Skills Mechanism Explained: An Open Standard for Giving AI Installable Skill Packs
Deep dive into Anthropic Skills (nearly 150K GitHub stars): skill.md structure, progressive loading, ready-to-use skills ecosystem, and the cross-tool open standard for AI skill packs.
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·2 min
Complete Tutorial: Image2 + Codex to Generate Editable Figma Design Files
Learn how to use ChatGPT Image2 to generate high-quality UI mockups and OpenAI Codex to convert them into editable Figma vector files in three steps.
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·2 min
OpenAI Codex Record & Replay Explained: Show It Once and the AI Learns
OpenAI Codex launches Record & Replay: demonstrate a workflow once and the AI learns to repeat it independently. A deep dive into how it works and where it applies.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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·4 min
Hands-On Tutorial: Building an AI Trending News Dashboard from Scratch with Claude Code
Learn to build an AI trending news dashboard from scratch with Claude Code — no coding required. Covers CC setup, domestic model integration, and full-stack development.
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·3 min
Deep Dive into Claude Code's Source Architecture: Harness Engineering and Seven Core Mechanisms
Deep analysis of Claude Code's leaked source architecture, covering TypeScript stack choices, Harness architecture's seven core mechanisms, tool call management, and context optimization.
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