What is TRAE and what does it do?
TRAE is Collaborate with Intelligence. TRAE is an AI-powered coding IDE and autonomous agent system for developers, combining a full-featured editor, real-time AI assistance, SOLO end-to-end project builder, multi-file workflows, integrated browser and terminal, voice input, Model Context Protocol (MCP) support with a marketplace, .rules-based agent configuration, and agent-driven project creation, debugging, and deployment across macOS and Windows. Available on Desktop App, Web App, TRAE is designed to enhance productivity and deliver professional-grade code assistance capabilities.
How much does TRAE cost?
TRAE offers Freemium pricing options. Free tier $0/month with limited requests; Pro subscription $10/month with first month discounted to $3; optional annual plan effectively $7.5/month (billed $90/year), all in USD Current estimates suggest pricing from $0 – $10 / month. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official TRAE pricing page or contact their sales team for custom enterprise quotes.
Is TRAE secure and compliant with data privacy regulations?
TRAE takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does TRAE support?
TRAE is available on Desktop App, Web App. The web application provides full functionality directly in your browser without requiring downloads. This multi-platform approach ensures you can use TRAE wherever and however you work best.
How can I try TRAE before purchasing?
The freemium model gives you access to essential features at no cost, with premium capabilities available through paid upgrades. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for English, Spanish, French, German, Chinese makes it accessible to global users.
What file formats does TRAE support?
TRAE accepts Plain text, CSV, JSON as input formats, making it compatible with your existing files and workflows. Output is delivered in Plain text, JSON, ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines. Whether you're importing data, exporting results, or chaining multiple tools together, TRAE handles format conversions efficiently without manual intervention.
Who develops and maintains TRAE?
TRAE is developed and maintained by Trae, based in SG. Most recently updated in December 2025, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures TRAE stays competitive and aligned with industry best practices.
How do I get access to TRAE?
TRAE is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in TRAE?
TRAE uses API Calls, Pay-as-You-Go as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does TRAE offer?
TRAE supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is TRAE best suited for?
TRAE is primarily designed for Software Developers, AI Enthusiasts, Product Managers and Entrepreneurs. Developers appreciate its ability to accelerate coding workflows and reduce repetitive tasks. Whether you need automation, creative assistance, data analysis, or communication support, TRAE provides valuable capabilities for multiple use cases and skill levels.
Does TRAE offer APIs or SDKs?
Yes, TRAE provides SDK support for Python, JavaScript/TypeScript. This enables developers to integrate the tool's capabilities into custom applications.
Does TRAE receive regular updates?
TRAE is actively maintained with regular updates to improve features, security, and performance. Trae continuously develops the platform based on user feedback and industry advancements. Updates typically include new AI capabilities, interface improvements, bug fixes, and security patches. Comprehensive API documentation is kept current with each release, making it easy for developers to leverage new features. Staying up-to-date ensures you benefit from the latest AI advancements and best practices in code assistance.
What do users say about TRAE?
TRAE has received 4 user reviews with an average rating of 4.0 out of 5 stars. This solid rating indicates the tool meets or exceeds most users' expectations across various use cases. Additionally, TRAE has received 25 upvotes from the community, indicating strong interest and recommendation. Reading detailed reviews helps you understand real-world performance, common use cases, and potential limitations before committing to the platform.
Is the information about TRAE up-to-date and verified?
Yes, TRAE's listing was last verified recently by our editorial team. This recent verification ensures all information reflects the current state of the platform. Our verification process checks pricing accuracy, feature availability, platform support, and official links. If you notice outdated information, you can submit corrections through our community contribution system to help keep the directory current and reliable for all users.
How does TRAE compare to other Code Assistance tools?
TRAE distinguishes itself in the Code Assistance category through accessible pricing options that lower the barrier to entry. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.
How difficult is it to learn TRAE?
The learning curve for TRAE varies depending on your experience level and use case complexity. Comprehensive API documentation supports developers who need to integrate the tool programmatically. Most users report becoming productive within a few hours to a day depending on their background. TRAE balances powerful capabilities with intuitive interfaces to minimize the time from signup to value delivery.
How often is TRAE updated with new features?
TRAE was most recently updated in December 2025, demonstrating active ongoing development. Trae maintains a development roadmap informed by user feedback and market trends. Regular updates typically include performance optimizations, bug fixes, security patches, and new capabilities that expand the tool's functionality. This frequent update cadence ensures the platform stays current with rapidly evolving AI technologies.
What support resources are available for TRAE?
TRAE provides multiple support channels to help users succeed. Comprehensive API documentation covers technical integration details, code examples, and troubleshooting guides. Privacy policy documentation explains data handling practices and compliance measures. Trae typically offers additional support through email, chat, or ticketing systems depending on your plan. The combination of self-service resources and direct support channels ensures you can resolve issues quickly and maximize your investment in the platform.
Is TRAE a reliable long-term choice?
When evaluating TRAE for long-term use, consider several indicators: Development by Trae provides organizational backing and accountability. Growing community interest indicates positive momentum. High user satisfaction ratings suggest the platform delivers on its promises. Recent updates demonstrate active maintenance and feature development. Consider your specific requirements, budget constraints, and risk tolerance when making long-term platform commitments.
