Where Should You Use Codex? A Guide to CLI, App, Cursor, and Claude Code

Where Should You Use Codex? A Guide to CLI, App, Cursor, and Claude Code#

2026-04-12

Codex environment guide cover

These days, a lot of people are saying good things about Codex. But the moment you try to actually use it, things get confusing.

  • Should you use Codex CLI?
  • Is there a separate Codex App?
  • Should you install the Codex extension inside Cursor?
  • Or is it enough to simply choose a Codex model inside Cursor chat?
  • Should you connect it to Claude Code as a plugin?

I had the same questions, so I went through the official documentation and organized what I found. I tried to write this in a way that even beginners, or people who do not usually work with coding tools, can follow comfortably.

How to Add Coding Runtimes to an AI Agent Web Service

How to Add Coding Runtimes to an AI Agent Web Service#

2026-04-19

Cover for coding runtime strategy in an AI agent web service

When you start designing or building an AI agent web service, one question shows up surprisingly early:

“If these agents are supposed to do real work, where does their coding ability actually come from?”

At first, it is tempting to think the answer is straightforward. Call a strong model API, add file editing, let it run shell commands, execute tests, and package the results. But once you look more closely, the problem expands fast.

Why Do Coding Agents All Design Alike? — Research and Decisions Behind Choosing a Design Stack

Why Do Coding Agents All Design Alike? — Research and Decisions Behind Choosing a Design Stack#

2026-07-03

Coding agent design stack

Ask a coding agent like Claude Code to design a web service and you get a reasonably decent result. Yet something feels off. The designs look vaguely familiar, similar to one another, and slightly unpolished in the details. While producing design drafts for an ongoing project, I went looking for ways to fix this, surveyed the available skills, MCP servers, and harness guidelines one by one, and settled on a final design stack. This essay documents that research and the decisions behind it.

Hunting Down an Active-User Crash — Bots, Illusions, and an Indexing Collapse

Hunting Down an Active-User Crash — Bots, Illusions, and an Indexing Collapse#

2026-07-17

Investigating the active-user crash

The active-user graph in GA (Google Analytics) was falling fast. Few charts sink a blogger’s heart quite like that one. Were readers leaving? Had the domain migration gone wrong? Was something broken in the setup? I handed the whole investigation over to Claude Code, and the results were quite different from what I expected. Most of the crash turned out to be an illusion — while the real problem was quietly unfolding somewhere else entirely.

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