Ideas, insights, and everything we're building at TRAE.

How to build and deploy AI software in a fast way with TRAE and Vercel

We've put together a guide on how to create, import, and use Agent Skills in TRAE.

How TRAE integrates with Supabase.

We're introducing sandboxing and a multi-layer security system designed to reduce security risk while keeping AI productive.

A technical deep dive into how we think and build Cue-Pro.

We upgraded Cue with repository-level edit sequences that keep you in flow

This is your year in review. Let's look back at what we created together.

This guide will get you started with using a coding agent like SOLO coder in just a few minutes. We'll show you how to use SOLO Coder for some common development tasks.

TRAE SOLO is the responsive coding agent we built for real-world software development.

How a lean team builds production features end-to-end with an AI engineer that “understands, executes, and delivers.”

We are introducing Max Mode, which is designed for deep coding with larger context windows and more tool calls.

Stop repeating yourself. In this article we dive into how to set up TRAE Rules that remember your preferences, keep your team aligned, and avoid the common mistakes that make AI ignore your instructions.

Cue is one of the latest and most complex AI development tool features developed by TRAE. We explored the technical challenges, achievements as well as future plans for TRAE Cue.

This blog answers some of the most common questions about Trae’s data practices. We’ll explain where data is stored, how it’s used, and what options you have to control its collection and use.

Trae Cue gets its biggest monthly update with major improvements to model performance and speed.

TRAE 2.0 marks a full - scale design upgrade for a more focused, intelligent development experience.

The AI that builds complete software.

Trae Agent reached #1 on SWE-bench Verified, with Claude 4 — and it’s open-sourced.

Trae Agent 2.0 featured a reengineered architecture, unified agent modes, smarter tool orchestration, and long-term memory that brings us closer to building the real AI engineer.

We've put together this guide that shows you how to make smart use of context in Trae to collaborate seamlessly with your AI partner.

Trae achieves 71.0% accuracy on SWE-bench Verified with Claude 3.7, pushing the boundaries of automated issue resolving. Not just fast. Not just big. But deeply aligned with the nature of engineering.

We've improved our agent capabilities with better context understanding and greater autonomy.

Deep dive into @Agent and how we built it.

Trae unveils major updates: a unified Chat - Builder interface, @Agent system with MCP for multi - agent collaboration, and smarter context handling (#Web, #Doc, Rules). Boost your workflow with AI - driven coding and adaptable agents.

Trae's vision is to empower seamless collaboration between humans and AI by advancing AI-driven coding, enabling developers to work smarter, faster, and more creatively.