Trae

Trae Tutorial

Trae is an AI-powered IDE assistant designed to speed up software development. Still in early release, it combines real-time code completion, debugging support, and context-aware suggestions. While not as mainstream as GitHub Copilot or Cursor, Trae appeals to developers looking for new AI coding workflows and cutting-edge experimentation.

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Use Cases

• Learning projects: great for students exploring AI-powered IDEs.

• Startups: prototype quickly with automated code completions.

• Hackathons: test new AI workflows under time pressure.

• Open-source devs: experiment with agent-like features.

Key Features

• Smart code suggestions based on project context.

• Inline debugging tips to catch mistakes faster.

• Multi-language support (focus on Python, JavaScript, TypeScript).

• Lightweight IDE with integrated AI.

• Early-stage experimental features for devs who like to test bleeding edge.

Getting Started

Step 1: Go to Trae’s official site.

Step 2: Sign up for access (email or GitHub login).

Step 3: Download and install the Trae IDE client or extension.

Step 4: Link your OpenAI API key (or other supported LLMs).

Step 5: Start coding — Trae will suggest completions and highlight errors.

Example Prompt

Type: “Write a function that scrapes titles from a news site and saves them into a CSV file.”

What you’ll see: Trae suggests a Python script using requests and pandas.

Tool Snapshot: Pros & Cautions

Best if: you want to experiment with new AI IDEs before they go mainstream.

Not ideal if: you need battle-tested reliability (try Copilot or Cursor).

Pricing Snapshot

• Free — lets you try Trae with limited monthly AI requests and autocomplete credits.

• Pro — around $10/month (cheaper yearly), removes most limits and gives fast, priority access.

• Enterprise — custom pricing for teams or companies needing higher limits and tailored support.

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