The outcome

Produce a tested diff and preview without letting an agent silently widen scope or publish the application.

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

    Create a clean branch in an approved repository, remove secrets from reachable files, and record baseline status, tests, and application behavior.

  2. 02

    Describe the user outcome, acceptance criteria, relevant paths, architecture, non-goals, visual states, validation commands, and actions TRAE must not take.

  3. 03

    Ask for an implementation plan first, review intended context and dependencies, and authorize only the smallest coherent change.

  4. 04

    Inspect generated files, terminal commands, packages, browser previews, error states, accessibility, tests, and unexpected network or external-service use.

  5. 05

    Run trusted checks outside the agent narrative, compare the final diff with the request, and deploy only through the established human-approved pipeline with rollback.

Working standard

What good use looks like.

  • Keep credentials outside reachable context.
  • Review dependencies and network use.
  • Retain human control of release actions.

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.