Built a mvp / prototype with Devin?
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 Devin apps
Building a mvp / prototype with Devin 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 Devin mvp / prototype
Common Devin issues we fix
Beyond mvp / prototype-specific issues, these are Devin patterns we commonly fix.
Autonomous security decisions
Devin makes security-related decisions without human review — choosing auth strategies, setting permissions, and configuring access controls that may be inadequate.
Compounding architectural errors
When Devin makes an early architectural mistake, it builds subsequent features on top of it. By the time you notice, the issue is deeply embedded in the codebase.
Workarounds instead of fixes
When Devin encounters an error, it sometimes adds workarounds that mask the root cause rather than fixing the underlying issue.
Inefficient retry patterns
Devin's debugging approach sometimes results in retry logic and fallback patterns that hide errors rather than resolving them, impacting performance.
Start with a self-serve audit
Get a professional review of your Devin 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 Devin?
Devin 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 Devin leave in mvp / prototype apps?
Common issues include: autonomous security decisions, compounding architectural errors, workarounds instead of fixes. For a mvp / prototype specifically, these issues are compounded by the need for identifying what actually needs fixing.
How do I make my Devin mvp / prototype production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Devin-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 Devin-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 Devin mvp / prototype production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.