OpenAI Codex CLI Released: Is This the Programming Assistant We've Been Waiting For?

OpenAI finally released their official CLI programming tool — Codex CLI.

To be honest, I’ve been waiting for this for a while. Not because I’m dissatisfied with existing tools (Claude Code and Cursor are both quite good), but because I wanted to see how OpenAI would approach “AI programming” when they got serious.

After using it for a day, here are my initial impressions.

First, the good parts:

Speed is indeed fast. Codex CLI’s response latency is noticeably lower than Claude Code, especially when handling large codebases. I suspect this is because OpenAI optimized their own models for this specific scenario, eliminating the “middleman” overhead.

Integration is seamless. Since it’s an OpenAI official tool, GPT-5 series model calls are smooth as butter, without the various quota and rate limit issues you encounter with third-party tools. This sounds like a small thing, but when you’re deep in flow, having your tool suddenly tell you “API rate limit exceeded” is incredibly frustrating.

Multi-file editing capability is strong. I had it refactor a React component that involved changes across 7 files. Codex CLI handled the dependency relationships correctly and even proactively reminded me about some edge cases I might have overlooked. This level of understanding is impressive.

Then, the not-so-good parts:

The tool ecosystem isn’t as rich as Cursor’s. Cursor has accumulated a large number of plugins and extensions, covering various frameworks and languages. Codex CLI is still in the early stages; while it handles mainstream tech stacks well, support for niche frameworks is lacking.

Context understanding has room for improvement. In multi-turn conversations, Claude Code better maintains context continuity. Codex CLI occasionally “forgets” previous discussion points, requiring you to re-explain. This is especially noticeable in long refactoring tasks.

Pricing isn’t cheap. Although OpenAI claims “cost optimization,” actual usage shows that complex tasks still consume significant tokens. If you’re processing large projects daily, the costs add up quickly.

So, should you use it?

If you’re already satisfied with Cursor or Claude Code, there’s no urgent need to switch. Codex CLI’s advantages aren’t overwhelming enough to justify migration costs.

But if you’re a heavy OpenAI API user, or want a more “official” experience, Codex CLI is worth trying. Its stability and speed do have unique strengths.

A bigger picture thought:

The release of Codex CLI signals that OpenAI is formally entering the “AI programming tools” battlefield. Previously, they were content to be “model providers,” letting others build applications on top. Now they’re directly competing with ecosystem partners.

This strategy shift is worth pondering. Is it because OpenAI believes AI programming is too important to leave to others? Or do they see this as the most promising monetization path?

Either way, for us developers, having more options is good. Competition drives innovation; I’m looking forward to what surprises the next generation of tools will bring.

Have you tried Codex CLI? How does it compare to your current tools?