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T3 Code brings Claude Code and Codex together in one window for parallel tasks

When Codex writes code and Claude reviews the changes, you end up carrying context between windows and trying to remember which agent is waiting for a reply. A Habr review describes T3 Code, an open-source app that gathers agents and their tasks in a single interface. You can hand a conversation off to another agent or check progress from your phone. The practical point is to cut down on manual switching between tools while keeping control over the result.

AI-processed from Habr AI; edited by Hamidun News
T3 Code brings Claude Code and Codex together in one window for parallel tasks
Source: Habr AI. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceHabr AI ↗
Editor-in-Chief
Key metric #1You still need your own subscriptions and model access: the wrapper does not replace them.
Key metric #2Parallel edits require separate Git worktree working folders.
Key metric #3Phone control works only while the work machine is on and reachable.

Codex works through a repository, Claude reviews the changes, and you carry messages between windows while trying to remember which agent is waiting for a reply. T3 Code pulls this work into one interface: you can hand out tasks, look at changes and continue the conversation with a different assistant. A Habr review describes how this kind of organization helps run several tasks at once.

For a developer, one scenario stands out: one agent prepares a fix, a second hunts for bugs, and a human accepts the result. For the founder of a small team the question is even simpler: will you spend less time on coordination while keeping a clear code review process? The review itself contains no measurements of time saved, so it is best to evaluate the tool on your own project.

How the agents work together

According to the article, T3 Code runs on top of existing agents, including Claude Code and Codex. They keep their own tools and ways of accessing models. The app combines the management of conversations and tasks. Users connect their own subscriptions, accounts or API keys.

Imagine a typical task: after a library update, authorization stopped working. Codex is told to find the cause and prepare a fix. Another agent can be asked to study the changes and check whether neighboring scenarios broke. Each gets a separate conversation, and the results can be gathered for a final decision.

This split is useful when the assignments differ: finding the cause, reviewing code, analyzing tests. If several assistants simply repeat the same work, the extra requests may burn through available limits without comparable benefit. Independent solutions are sometimes needed, but that is a separate goal worth stating up front.

The review also describes handing a conversation off between agents. For example, you can start the analysis with Codex and continue with Claude. However, transferring context does not mean transferring the entire internal state: each agent's environment and behavioral quirks remain its own. After switching, it is worth checking whether the new assistant understood the current task and the decisions already made.

Task queue and working from your phone

With several projects, the bottleneck becomes human attention. One agent has finished, another hit an error, a third is asking permission to continue. According to the author, the T3 Code sidebar helps handle these situations like an inbox: a completed task can be removed from the active list, and a postponed one brought back later.

Running tasks can come back into view when the user's input is required. This is useful for long operations: you don't have to keep opening every conversation just to check status. At the same time, the number of running agents says nothing in itself about the number of finished fixes. The changes still need to be reviewed and checked.

Remote access is built around the work machine. The repositories, agents and processes live there, while a phone or browser serves as the control interface. You can step away from your desk, but turning off the computer and expecting work to continue is not an option. With several machines, you also have to consider where the necessary files and build tools are located.

What to check before switching

First, change isolation. A separate conversation with an agent does not guarantee a separate working folder. If two assistants edit the same files, they can overwrite each other's changes. For parallel work, the article describes Git worktrees: separate folders with their own branches. After the tasks are done, the results still need to be reconciled.

Second, subscription usage. The author relays an FAQ warning about faster consumption of Claude's five-hour limit through the Agent SDK. Check this against current documentation before long sessions. A shared wrapper does not lift provider limits and does not solve the problem of a blocked account.

It makes sense to start with one repository and two different assignments: prepare a small fix and verify it independently. Compare the time spent on setting up the task, waiting, transferring context and accepting the result with your usual process. If switching between windows really gets in your way, T3 Code offers a clear way to bring the work together. If you spend the whole day with a single agent, the benefit of a new interface still needs to be proven.

Story

Key Questions Answered

How the agents work together?

According to the article, T3 Code runs on top of existing agents, including Claude Code and Codex. They keep their own tools and ways of accessing models. The app combines the management of conversations and tasks. Users connect their own subscriptions, accounts or API keys. Imagine a typical task: after a library update, authorization stopped working. Codex is told to find the cause and prepare a fix. Another agent can be asked to study the changes and check whether neighboring scenarios broke.

What are the key details on Task queue and working from your phone?

With several projects, the bottleneck becomes human attention. One agent has finished, another hit an error, a third is asking permission to continue. According to the author, the T3 Code sidebar helps handle these situations like an inbox: a completed task can be removed from the active list, and a postponed one brought back later. Running tasks can come back into view when the user's input is required. This is useful for long operations: you don't have to keep opening every conversation just to check status.

What to check before switching?

First, change isolation. A separate conversation with an agent does not guarantee a separate working folder. If two assistants edit the same files, they can overwrite each other's changes. For parallel work, the article describes Git worktrees: separate folders with their own branches. After the tasks are done, the results still need to be reconciled. Second, subscription usage. The author relays an FAQ warning about faster consumption of Claude's five-hour limit through the Agent SDK.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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