Company Entire, founded by former GitHub CEO, begins hosting code in Brazil

ByteDance's AI product TRAE has released a personal assistant for developers named TRAE Bao. This feature became available on October 29th. TRAE announced the launch through its official channels and on the official Chinese community forum.

Unlike the previous format, where the assistant performed one task per session, the new tool is designed to track the developer's projects, tasks, and decisions over time.

TRAE explains the problem as follows: a significant portion of the time developers spend with AI-based coding tools is not spent writing code, but rather on project detailing, task distribution, and switching between work sessions. With every new task, they have to re-explain the technical stack, project background, and previously made decisions. Complex requirements must be manually broken down, tracked across sessions, and then compiled.

The assistant uses a two-layer architecture. The global assistant is responsible for coordination and storing memory across different projects. It can analyze past tasks, dialogues, and the developer's work results, extracting reusable solutions and constraints. When a developer starts new work and defines a goal, the global assistant automatically loads the relevant context by studying experience from earlier projects.

The project assistant, conversely, focuses on one project at a time. Working within the context of that specific project, it breaks down a complex need into a series of actionable tasks, runs subtasks in parallel, integrates them, and summarizes the results. According to TRAE's description, the developer's role in this process shifts towards receiving reports and making decisions.

In the desktop application, access to the global assistant is available through a dedicated entry point, while creating or opening a project activates the project-level assistant. The global assistant can be integrated with messengers such as Feishu and WeChat, allowing developers to assign tasks and receive progress updates without opening the client application.

There are certain limitations: the current version only supports local tasks. TRAE has stated that support for cloud tasks and mobile devices will appear in future updates. Users on the official forum note that the feature is being rolled out gradually, first appearing in the Chinese version, and that an automatic model selection is currently used without manual configuration capability.

This launch adds TRAE to the growing group of desktop agents that allow users to delegate work from phones or chat applications and maintain long-term memory between sessions.

Thomas Domek, the former CEO of GitHub, founded Entire—a new company that offers hosting and collaborative work using Git and aims to compete with GitHub.

Entire was introduced in July, but its official launch took place this week. In the launch announcement, the service was described as the first Git platform created for the collaboration of agents and humans, serving as an alternative to GitHub. This platform provides the necessary speed for teams to integrate changes as quickly as agent programs do.

The description emphasizes that Entire is designed not only for human developers but also for tasks performed by artificial intelligence agents, allowing it to support the high workload that such agents may require.

Furthermore, Entire differs from GitHub in that instead of pull requests, which are used on GitHub to inform other developers about repository changes, it uses a system called Trails. Trails are designed to record and transmit information about code changes so that other developers can understand not only what changed, but how and why.

Entire compares the Trails interface to the view a pilot has on an airplane dashboard, emphasizing process monitoring rather than complexity.

Domek and his team highlight performance as another advantage of the platform. According to the official statement, Entire is built on a new Git-compatible version control server and demonstrates commit speeds 89 times faster than GitHub and six times faster than Cursor Origin.

Currently, at the launch stage, using the Entire platform for code repositories and Trails is free. However, users need to purchase credits to use AI agents. Each new account receives a welcome bonus of $100 USD.