Codex 3.0 by OpenAI

Codex can now build, test & debug on autopilot

5.0•111 reviews•

1.7K followers

Codex can now build, test & debug on autopilot

5.0•111 reviews•

1.7K followers

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With GPT-5.5, Codex evolves into a true cross-app coding agent—navigating browsers, interacting with web apps, generating docs in Microsoft Office and Google Drive, and testing workflows like a real user. It sees, clicks, debugs, and iterates autonomously, bringing developers closer to reliable, end-to-end automated builds.

Codex 3.0 by OpenAI Reviews

Name: Codex 3.0 by OpenAI
Rating: 5.0 (111 reviews)

The community submitted 111 reviews to tell us what they like about Codex 3.0 by OpenAI, what Codex 3.0 by OpenAI can do better, and more.

5.0

Based on 111 reviews

Review Codex 3.0 by OpenAI?

Reviewers see Codex 3.0 as a strong autonomous coding tool that reads real codebases, handles multi-file work, and can implement, test, debug, and review changes with less guessing than rivals. Users especially trust its sandboxed workflow and context across longer projects, while founders of MindPal, Velo, and HarnessRouter echo its usefulness in real build loops and structured outputs. The main complaints are slower task startup, unclear usage tracking, weak progress visibility, memory use, and some context limits on large repos.

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•2 reviews

What's great

I mainly use Codex for content projects that span multiple sessions. It helps me carry context from one session to the next while I plan, write, review, and create images. Having content drafting and image generation in one workflow makes complex projects much easier to manage. The side chat is also incredibly convenient when I want to explore something without losing my place. If I had to choose one AI tool for everything, Codex would be the most practical all-around option for me, especially with its range of plugins and extensions.

What needs improvement

high memory usage (1)limited token usage (1)skill management (1)usage tracking (1)usage visibility (1)

Usage could be much easier to understand and manage in Codex Desktop. I would like a single place to see how much each session and model has used, what remains, and when the limit resets. Longer workflows can use up the available allowance quickly, so better visibility would make them easier to plan.

I’d also like a simple activity view showing which skills ran, why they were triggered, and whether I can control when they run for a specific task. Compared with Claude Code, this information is still harder to find and manage. Codex Desktop can also use a noticeable amount of system memory during extended sessions, so better memory efficiency would help with larger projects.

vs Alternatives

Claude Code

I also considered Claude Code. It feels more intuitive in a few areas, but Codex works better for the broader mix of tasks I handle beyond coding. I also find Codex smoother when working with multilingual content.

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•29 reviews

What's great

It actually reads your codebase before doing anything. That sounds obvious but most AI coding tools just guess based on the prompt and hope for the best. Codex pulls in the real file structure, understands what's already there, and works with it instead of hallucinating functions that don't exist. The sandbox approach is smart too, you get a full environment so it can run and test its own changes before handing them back to you.

What needs improvement

slow performance (1)

Speed is the main thing. Tasks that feel like they should take 30 seconds sometimes take a few minutes while the sandbox spins up and runs. The UI could surface progress better too, sometimes you're just staring at a spinner not knowing if it's stuck or thinking. And the context window still has limits, on larger repos it can lose track of files it looked at earlier in the session.