MongoDB app built with Pythagora? Let’s review it.

Expert code review for MongoDB apps built with Pythagora. We find Pythagora-specific bugs, fix MongoDB security issues, and optimize performance. From $19.

Pythagora issues we find in MongoDB projects

Problems specific to Pythagora's code generation patterns when building MongoDB apps.

highPythagora

Weak input validation

Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.

highPythagora

Insecure session management

Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.

mediumPythagora

Step-by-step accumulation of bugs

Each development step is reviewed individually, but the interaction between steps can introduce bugs that aren't visible in isolation.

lowPythagora

Redundant code from iterations

Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.

MongoDB issues we check for

Common MongoDB problems that affect production readiness.

security

NoSQL injection

User input passed directly into MongoDB query operators like $where, $gt, or $regex, allowing attackers to manipulate queries and extract data.

bugs

Missing schema validation

No Mongoose schemas or MongoDB JSON Schema validation, allowing inconsistent documents that break application logic.

performance

No database indexes

Collections queried without indexes on frequently filtered or sorted fields, causing full collection scans that degrade as data grows.

performance

Unbounded queries

find() calls without limit or pagination returning entire collections into memory, crashing the server with large datasets.

Start with a self-serve audit

Get a professional review of your Pythagora MongoDB project at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

Frequently asked questions

Can you review MongoDB code generated by Pythagora?

Yes. We regularly audit MongoDB projects built with Pythagora and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.

What MongoDB issues does Pythagora typically create?

Common issues in Pythagora-generated MongoDB code include: weak input validation, insecure session management, step-by-step accumulation of bugs. Combined with MongoDB-specific concerns like nosql injection and missing schema validation.

How do I make my Pythagora MongoDB project production-ready?

Start with our code audit ($19) to get a prioritized list of issues. For Pythagora-built MongoDB projects, the typical path is: fix security gaps, address MongoDB-specific performance issues, then configure deployment. We provide a fixed quote after the audit.

How much does it cost to review Pythagora-generated MongoDB code?

Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.

Need help with your Pythagora MongoDB project?

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App