Building a dashboard with PlanetScale? Let us review it.
Expert code review for dashboards built with PlanetScale. We fix PlanetScale-specific security gaps, optimize performance, and handle deployment. From $19.
Common PlanetScale issues we find
Real problems from PlanetScale codebases we've reviewed.
Foreign key constraint workarounds
PlanetScale doesn't support traditional foreign keys. AI-generated code creates them anyway, causing deployment failures, or skips referential integrity entirely.
Connection string exposure
PlanetScale database URLs with credentials committed to source control or embedded in client-side code.
Missing connection pooling
Serverless functions opening new connections on every invocation instead of using PlanetScale's connection pooling or @planetscale/database driver.
No branch workflow for schema changes
Schema changes deployed directly to the main branch without using PlanetScale's deploy request workflow, risking production data.
Dashboard challenges to solve
Key dashboard concerns that AI-generated code often misses.
Query performance at scale
AI-generated dashboards run raw database queries on every page load. With thousands of rows, these queries take seconds or minutes instead of milliseconds. You need materialized views, pre-aggregated data, proper indexing, and caching to keep dashboards responsive.
Data accuracy
A dashboard that shows wrong numbers is worse than no dashboard at all. AI tools generate SQL aggregations that look correct but miss edge cases — timezone handling, duplicate records, null values, and off-by-one errors in date ranges produce silently incorrect metrics.
Access control and data exposure
Dashboards display sensitive business data. AI tools often skip role-based access, meaning anyone with the URL can see revenue figures, customer data, or operational metrics. Different team members need different data visibility levels.
Real-time vs. cached data
Some metrics need to be live (active users, system status), while others can be cached (monthly revenue, historical trends). AI tools either make everything real-time (slow, expensive) or everything static (stale). You need a thoughtful caching strategy.
What we check
Key areas we review for PlanetScale dashboard projects.
Query performance — response times under 500ms for all dashboard views
Data accuracy — aggregation logic, timezone handling, null values
Access control — role-based permissions enforced on API and database level
Caching strategy — appropriate refresh intervals for each metric type
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 PlanetScale dashboard 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 dashboard built with PlanetScale?
Yes. We regularly audit PlanetScale dashboard 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 PlanetScale dashboards?
Common issues include foreign key constraint workarounds and connection string exposure on the PlanetScale side, combined with dashboard-specific concerns like query performance at scale and data accuracy. We check for all of these and more.
How do I make my PlanetScale dashboard production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For PlanetScale dashboard projects, the typical path is: fix security gaps, address dashboard-specific requirements, optimize PlanetScale performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a PlanetScale dashboard?
Our code audit delivers a full report within 24 hours. For PlanetScale dashboard projects, we check security, architecture, performance, and deployment readiness across all PlanetScale-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
PlanetScale by Use Case
Need help with your PlanetScale dashboard?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.