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LeiphoneUpdated Oct 30 14:40

TRAE Launches Developer Personal Assistant TRAE Bao, Introducing a Dual-Layer Global and Project Assistant

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AI development product TRAE officially launched its developer personal assistant TRAE Bao on October 29, introducing a dual-layer assistant system of a global assistant plus a project assistant into development workflows. The global assistant can read developers' past tasks, conversations, and artifacts, automatically fill in project context and historical decisions for new tasks, and supports binding to instant messaging tools such as Feishu and WeChat to dispatch tasks and sync progress. The project assistant, based on the current project context, breaks complex requirements into multiple subtasks to advance in parallel, integrate, and summarize. The current version only supports local tasks; cloud tasks and mobile capabilities will be opened in subsequent iterations.

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The original text explains how the dual-layer assistant carries cross-project memory and single-project parallel decomposition, which can be used to judge its actual impact on development workflows.

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Lead-in: On October 29, the AI development product TRAE officially launched the developer personal assistant "TRAE Bao," introducing a dual-layer assistant system of "global assistant + project assistant" into the development workflow.

On October 29, the AI development product TRAE officially launched the developer personal assistant "TRAE Bao." Unlike the previous Agent conversations centered on a single task, TRAE Bao introduces a dual-layer assistant system into the development workflow, enabling AI to continuously understand the projects, tasks, and decisions that developers accumulate over time, rather than merely responding to a single current instruction.

For a long time, the time users spend in the AI development process has been consumed not only by writing code itself, but also in large part by project breakdown, task assignment, and switching back and forth between multiple sessions. When a new task starts, developers need to brief the AI again on the project background, tech stack, and historical decisions; once requirements enter a complex stage, they must break down tasks themselves, switch sessions, track progress, and then assemble the results into a complete solution.

TRAE Bao adopts a dual-layer architecture of "global assistant + project assistant," corresponding to the above two types of scenarios respectively. The "global assistant" handles cross-project memory and coordination; it can read developers' past tasks, conversations, and outputs, and proactively sort out the reusable solutions and constraints within them. When starting a new task, developers only need to state the goal, and the assistant can locate relevant experience from historical projects and complete the automatic positioning of context. The "project assistant" focuses on the parallel execution of a single project. Based on the precise context of the current project, it breaks complex requirements into multiple executable tasks, schedules subtasks to advance in parallel, integrate, and summarize, while developers complete control by "listening to reports and making judgments."

Specifically, by opening the TRAE desktop client, you can enter the global assistant through "TRAE Bao," and by creating or opening a project you can enter the project-level assistant conversation. The global assistant supports binding to instant messaging tools such as Feishu and WeChat, allowing tasks to be dispatched and progress to be synced in real time without opening the client. The current version supports local tasks; cloud tasks and mobile capabilities will be opened in subsequent iterations.

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