T3 Code Review: Why It Replaced Codex in My Workflow
My hands-on T3 Code review: multi-project workflows, T3 Connect, computer use, subscription support, Linux setup, and where Codex still wins.
5 min readBranislav Mateas
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My verdict after real freelance work
T3 Code is now my main AI coding interface, even after I switched from Claude to ChatGPT.
It won me over with its multi-project workflow, easy subscription connections, T3 Connect, and an in-app browser with computer use.
This is a hands-on review from real freelance work, not a controlled benchmark.
I had been ready to cancel Claude and move to ChatGPT; T3 Code first changed that decision, and later remained my main interface even after the subscription switch.
Very close. Close enough that I had told myself it was done.
The setup was almost perfect for ChatGPT. The subscription would have cost me effectively nothing through the company deal. And Codex was, honestly, amazing to use.
So this is not a case of me defending a tool I was already loyal to. I was walking out the door.
What I liked about Codex (credit where it's due)
I went into agentic work biased against it. I am the person who needs the project cleaned up. I want the folder structure visible. I want to see what is happening, step by step, not trust a black box to poke around my files.
Agentic here just means the AI can act on its own across your project, running tasks and touching files instead of only answering in a chat box.
Codex got me past that bias, mostly through design. It felt calm and readable. And I genuinely loved the computer use and the agentic side of it. Unlike a chat sidebar stuck to one window, I could work across multiple projects at the same time. For a freelancer juggling a few clients at once, that is not a nice-to-have. That is the whole job.
What my workflow looked like before
Before all this, I ran Cursor, with Claude Code working inside Cursor.
It was not bad. But two things nagged at me.
I did not want to set up API keys by hand every time. And I wanted to run Claude Code across several projects at once, which was not really possible that way.
So the exact thing that pulled me toward Codex was a workflow gap, not brand love. Codex solved the multi-project problem. Claude, in the setup I had, did not.
The tool that changed my mind
Then I tried T3 Code.
I have written about T3 Chat before, so if you have read that you already know I am a fan of Theo's work. (If you missed it, that post is on the blog.)
T3 Code is what kept me on Anthropic. It is great to use, and the design is, if anything, even better than what pulled me toward Codex in the first place. It even has a thing called T3 Connect, which lets you manage your sessions remotely from your smartphone for example.
You can even connect your other subscriptions easily. Still, crazy to think that the best AI experience comes from an indie developer.
And here is the key part: it solves the multi-project problem. The exact gap that was pushing me to switch is the thing T3 Code fixed.
Why T3 Code won for my specific setup
A few concrete reasons, not vibes:
It is genuinely pleasant to use day to day, and the design is a real step up.
It handles multiple projects at once, which was my original bottleneck.
It supports Linux. I am on Ubuntu, and that matters a lot to me. A tool that ignores my operating system is a non-starter, no matter how good it is.
The Codex thing that started to bug me
It is only fair to name why the shine came off Codex, too.
After ChatGPT and Codex got merged, the input on Windows got weird. Sometimes it lags.
Small thing. But it is the thing you touch every single minute. Friction in the one spot you never stop using adds up fast.
What T3 Code has added — and what I still miss
T3 Code is not perfect, but its biggest missing feature has now arrived.
As of 18 August 2026, T3 Code includes an in-app browser with computer use, closing the gap I originally saw versus Codex.
That makes it much easier to recommend for end-to-end workflows, not just code generation and file changes.
The feature I still want is a clear way to see how much of my subscription usage is left.
Usage visibility is the remaining everyday gap for me.
One practical tip if you're on Linux
If you are on Linux and you try T3 Code, do this.
Switch to the nightly builds instead of stable.
You get new models earlier.
The UI is noticeably better.
The honest caveat
This is my experience over a few weeks, not a benchmark. I did not run controlled tests. I ran my actual work.
I am one freelancer on Ubuntu with a specific multi-project workflow. Your bottleneck might be somewhere else entirely. If you prefer Codex's native app or its model behavior, Codex might still be your pick. If you live on Windows, weigh that input lag for yourself.
If you want a polished multi-project interface that works with your existing AI subscriptions, try T3 Code alongside Codex and compare it on your real workload. It changed my answer, and it remains my main driver.
Thanks for reading. If you want to compare notes on your own AI tooling setup, reach out, the links are in the footer.
Update as of 18 August 2026: I have since switched to ChatGPT, but I still use T3 Code as my main interface instead of the laggy Codex app.
