The outcome

Get into the official TRAE experience with the right account and a setup you understand.

TRAE is a AI-native integrated development environment with conversational and agentic coding workflows. Building and modifying applications through an AI-native editor while keeping project context, generated plans, agent actions, and visual previews in one workspace. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Start at https://www.trae.ai/ and confirm the domain before entering account or payment information.

  2. 02

    For desktop use, follow the official download link. Current availability: TRAE is distributed as a desktop AI IDE with code completion, chat, project context, agent and builder workflows, model access, and extensions..

  3. 03

    A supported desktop system, a TRAE account where required, an authorized repository, and an organizational decision on code indexing, telemetry, data regions, models, and extensions.

  4. 04

    Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

  5. 05

    Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

Working standard

What good use looks like.

  • Use official download pages.
  • Review permissions during setup.
  • Keep installers and applications updated.

TRAE states that codebase files may be temporarily uploaded to compute indexes and that embeddings and metadata can be retained. Privacy Mode can limit telemetry but does not replace an organizational data review. Avoid regulated or confidential repositories until terms, regions, subprocessors, retention, model training, and deletion meet policy; minimize context and extensions, isolate agent work, keep credentials out, and verify every command, dependency, diff, and deployment manually.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.