Built a mvp / prototype with Trae?
We'll make it production-ready.
You built a prototype with an AI tool and it works — on your machine, with your test data, for the happy path. Now you need real users to validate your idea. The goal isn't perfection — it's getting to a state where real people can use it safely and reliably. That means fixing the critical gaps without over-engineering.
MVP / Prototype challenges in Trae apps
Building a mvp / prototype with Trae is a great start — but these challenges need attention before launch.
Identifying what actually needs fixing
Not everything needs to be production-grade for an MVP. The challenge is knowing which shortcuts are acceptable (visual polish, advanced features) and which aren't (security, data loss, broken core flows). Our audit prioritizes fixes by impact.
Security minimum
Even an MVP handles user data. You need authentication that works, data isolated per user, no exposed secrets, and HTTPS. You don't need enterprise-grade security, but you need the basics done right.
Deployment
Your app runs locally but deploying it involves environment variables, domain configuration, SSL, and build optimization. First-time deployment is where most AI prototypes hit unexpected issues.
Error handling
When something goes wrong (and it will), your users should see a helpful message — not a white screen or a raw error. Basic error handling is the difference between 'this app is buggy' and 'something went wrong, please try again.'
Core flow reliability
Your main user flow (signup → core action → outcome) must work every time. Edge cases in secondary flows can wait, but the core path needs to be solid for your MVP to generate valid learnings.
What we check in your Trae mvp / prototype
Common Trae issues we fix
Beyond mvp / prototype-specific issues, these are Trae patterns we commonly fix.
Chinese-language comments and variable names in generated code
Trae occasionally generates inline comments or even variable names in Chinese, particularly for UI-related code, which creates readability issues for teams that operate in English and can complicate code review.
Missing authentication on generated API routes and backend endpoints
Like many AI code generators, Trae creates backend routes without authentication middleware, leaving all endpoints publicly accessible. This is a critical issue for any app handling user data.
Inconsistent coding style across components in the same project
Trae may switch between different state management patterns (useState vs. Pinia vs. Vuex), component styles, or file organization conventions across files in the same generation session, requiring normalization before merging.
Error handling in generated code is immature compared to more established tools
As a newer tool, Trae's error handling patterns are less consistent than Cursor or Copilot — generated code often omits catch blocks on async operations and lacks UI feedback for error states.
Start with a self-serve audit
Get a professional review of your Trae mvp / prototype at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can I build a mvp / prototype with Trae?
Trae is a great starting point for a mvp / prototype. It handles the initial scaffolding well, but mvp / prototype apps have specific requirements — identifying what actually needs fixing and security minimum — that need professional attention before launch.
What issues does Trae leave in mvp / prototype apps?
Common issues include: chinese-language comments and variable names in generated code, missing authentication on generated api routes and backend endpoints, inconsistent coding style across components in the same project. For a mvp / prototype specifically, these issues are compounded by the need for identifying what actually needs fixing.
How do I make my Trae mvp / prototype production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Trae-built mvp / prototype apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Trae-built mvp / prototype?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger mvp / prototype projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Trae mvp / prototype production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.