#Codex loop pattern
402 related articles
·3 min
A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners
How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.
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·3 min
The Next Evolution of Coding Agents: Letting the Brain Break Free from the Sandbox
Exploring the key evolution in coding agent architecture: separating the reasoning core from code execution environments to decouple control and execution planes.
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·3 min
Codex Beginner's Guide: Hands-On Review of OpenAI's Programming Assistant with Practical Tips
A detailed guide to OpenAI Codex's core features, real-world usage, comparison with Claude Code, and DeepSeek configuration tips for developers choosing AI programming tools.
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·2 min
GitHub Copilot App Beginner's Guide: Mastering AI-Assisted Development from Scratch
A detailed guide to the GitHub Copilot standalone app's core features including project creation, AI agent collaboration, and canvases to help developers get started with AI-assisted development.
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·2 min
Getting Started with Codex: A Practical Guide to OpenAI's AI Programming Assistant with Tips to Avoid Common Pitfalls
A detailed guide to OpenAI Codex's core features and setup, comparing it with Claude Code, plus practical tips for configuring DeepSeek and avoiding common pitfalls.
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·3 min
The Next Evolution of Coding Agents: Letting the Brain Escape the Sandbox
Exploring the next evolution in coding agent architecture: decoupling the reasoning core from code execution environments to separate control and execution planes.
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·5 min
Getting Started with Codex: Four Product Forms Explained & How to Choose Between Cursor, Claude Code, and Codex
In-depth analysis of OpenAI Codex's four forms (CLI, web, plugin, app), comparing Codex, Claude Code, and Cursor on price, stability, and use cases to help developers choose the right tool.
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·2 min
Getting Started with GitHub Copilot App: A Beginner's Guide to AI-Assisted Development
A detailed guide to GitHub Copilot's standalone app covering project creation, AI agent collaboration, canvas features, and tips to help developers get started with AI-assisted development.
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·2 min
Canvas Technology Explained: AI Moves from Chat Mode to Interactive Workspaces
A deep dive into how Canvas technology upgrades AI from traditional Q&A into interactive workspaces, covering visualization, workflow exploration, and actionable AI — plus its impact on developer workflows via GitHub Copilot.
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·2 min
Canvas Technology Explained: How AI Is Moving from Chat Mode to Interactive Workspaces
Explore how Canvas technology transforms AI from traditional Q&A into interactive workspaces, covering visualization, workflow exploration, and actionable collaboration for developers.
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·4 min
AI Coding Tools in Practice: Which Ones Actually Stuck with the Team?
A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.
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·3 min
Sub-Second Code Search: Building an Indexing Plugin with Cursor + Codex
How to achieve millisecond-level code search in massive repositories with hundreds of thousands of files? A hands-on look at building a code search plugin with Cursor + Codex, powered by Lucene inverted indexing and BM25 ranking.
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·3 min
Sub-Second Code Search: Building an Indexing Plugin with Cursor + Codex
How to achieve millisecond-level code search in a repo with hundreds of thousands of files? Building a search plugin with Cursor + Codex, powered by Lucene inverted indexing and BM25 ranking.
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·3 min
Hermes Agent in Practice: A Self-Evolving AI Agent Framework
Hermes Agent is a mature AI Agent framework with built-in Claude Code and Codex coding capabilities, supporting 200+ models, multi-platform deployment, and WeChat integration. Its layered memory and self-evolution features enable low-Token automated task execution.
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·3 min
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
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·3 min
Rocky: An Open-Source Coding Agent with Minimal Architecture and Native DeepSeek Integration
Rocky is a minimal, transparent open-source coding agent with a core loop under a few hundred lines of Python, native DeepSeek search, Research mode, and built-in SWE benchmarking for reproducible agent experiments.
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·4 min
Complete Guide: Connecting DeepSeek and Other Chinese LLMs to Codex
No ChatGPT account? No problem. Learn how to connect DeepSeek and other Chinese LLMs to Codex using the Codex++ management tool — including Base URL setup, API Key creation, and token top-up.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
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·4 min
Building an AI-Automated Topic Selection System: A Practical Guide to the Three-Dimension Method
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.
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