The outcome
Make an evidence-based adoption decision without exposing confidential source code during evaluation.
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.
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.
- 01
Define pilot tasks, prohibited data, quality and latency measures, acceptable regions and retention, required controls, and an exit procedure.
- 02
Use a synthetic or public repository and isolated account, review current privacy terms, enable Privacy Mode, and record relevant settings and version.
- 03
Run representative completion, chat, and agent tasks while observing files selected for context, network activity, extensions, commands, model behavior, and cost.
- 04
Measure correctness, tests, dependency hygiene, prompt-injection resistance, telemetry reduction, index deletion claims, and behavior after account or project removal.
- 05
Document gaps and compensating controls, obtain security and legal approval where needed, and keep sensitive repositories out until every requirement passes.
Working standard
What good use looks like.
- Pilot with non-sensitive code.
- Review current terms, not marketing summaries.
- Verify deletion and telemetry behavior.
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.