Building a mvp / prototype with SQL? Let us review it.
Expert code review for mvp / prototype apps built with SQL. We fix SQL-specific security gaps, optimize performance, and handle deployment. From $19.
Common SQL issues we find
Real problems from SQL codebases we've reviewed.
SQL injection from string concatenation
Building queries by concatenating user input directly into SQL strings instead of using parameterized queries, enabling full database compromise.
Missing indexes on queried columns
Queries filter and join on columns without indexes, causing full table scans that slow exponentially as data grows.
SELECT * in production queries
Fetching all columns when only a few are needed, wasting bandwidth, memory, and preventing covering index optimizations.
N+1 query patterns
Executing one query per row in a loop instead of a single JOIN or batch query, multiplying database round trips by the number of records.
MVP / Prototype challenges to solve
Key mvp / prototype concerns that AI-generated code often misses.
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.'
What we check
Key areas we review for SQL mvp / prototype projects.
Core user flow — does signup to core action work reliably?
Authentication — secure login, session handling, password reset
Data security — user data isolation, no exposed secrets
Deployment readiness — env vars, build configuration, domain setup
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your SQL mvp / prototype project 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.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a mvp / prototype built with SQL?
Yes. We regularly audit SQL mvp / prototype projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in SQL mvp / prototype apps?
Common issues include sql injection from string concatenation and missing indexes on queried columns on the SQL side, combined with mvp / prototype-specific concerns like identifying what actually needs fixing and security minimum. We check for all of these and more.
How do I make my SQL mvp / prototype production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For SQL mvp / prototype projects, the typical path is: fix security gaps, address mvp / prototype-specific requirements, optimize SQL performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a SQL mvp / prototype?
Our code audit delivers a full report within 24 hours. For SQL mvp / prototype projects, we check security, architecture, performance, and deployment readiness across all SQL-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
SQL by Use Case
Need help with your SQL mvp / prototype?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.