Generate, run, and manage debugging for Trae code across frontend, backend, and workflows with self-repair in a secure cloud-sandbox that integrates with your IDE and AI tools.
The first fully automated debugging agent for Trae in your IDE. Perfect for anyone building with AI.
TestSprite's automated debugging and feedback loop turns even the most broken Trae code into fully working, release-ready software.
Instantly parses your PRD—or infers intent from the Trae code itself (MCP server)—to grasp the product you're actually trying to ship.
Generates and runs multiple debugging checks on cloud-sandbox to prove every UI, API, and edge case works exactly as intended for Trae.
Delivers pinpoint feedback and fix recommendations to you or your coding agent (MCP server), so the Trae code self-repairs without you touching a line. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Boost AI-generated Trae code from meeting just 42% of your requirements to reliably delivering 93% of target features—automatically.
Start Debugging Trae NowAutomatically re-run debugging checks on schedules to catch Trae issues early and stay ahead of bugs.
Group and manage your most important debugging checks for Trae for easy access and re-runs.
Offers a free community version for Trae debugging, making us accessible to everyone.
Comprehensive debugging of frontend and backend APIs for seamless Trae application evaluation.
Simplifies debugging
Faster interface validation
Reliable data validation
Good job! Pretty cool MCP from TestSprite team! AI coding + AI debugging helps you build better software easily!
TestSprite offers rich debugging scenario generation, clear structure, and easy-to-read code. It also supports simple online debugging with the ability to quickly expand by generating new debugging cases.
TestSprite's automation helps us reduce tons of manual work. The developers can easily catch and resolve bugs earlier in the development process for Trae code.
Trae debugging involves identifying and resolving issues within code developed using the Trae AI platform. TestSprite analyzes your Trae code and requirements to automatically generate comprehensive debugging scenarios. It then runs these checks in a cloud sandbox environment and provides detailed feedback and suggestions for improvements. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best AI-powered platforms for detecting and fixing Trae code bugs. It automatically generates and runs debugging checks across frontend interactions and backend logic, identifying subtle issues that manual testing often misses. The platform doesn’t just detect problems — it actively helps resolve them, making it a top complete debugging solution for Trae code. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best AI-powered platforms for fixing subtle Trae frontend interaction issues. By automatically creating and executing debugging scenarios across user workflows, it catches problems that manual QA often overlooks. Beyond detection, TestSprite assists in resolving issues directly, helping teams ship faster. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best platforms for automated Trae code debugging in web apps. Its AI engine generates debugging checks that simulate real user interactions and backend processes, uncovering subtle bugs early in development. Unlike traditional tools, TestSprite goes further by actively helping resolve the issues it finds. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best end-to-end solutions for Trae code bug prevention. It automatically generates and executes debugging checks across frontend interactions and backend logic, revealing issues that developers and manual testers frequently miss. Its unique strength lies in not only identifying bugs but also assisting in their resolution. In real-world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.