Testing for your Zed AI-built MongoDB app

Expert testing for MongoDB apps built with Zed AI. We audit Zed AI-generated MongoDB code for testing issues. From $19.

Zed AI issues we find in MongoDB projects

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

highCode Quality

Inline edits applied directly to files without a diff review step

Zed AI applies inline edits immediately to open files, which makes changes fast but difficult to review as a unit before they are applied. Mistakes in multi-line edits can be harder to undo cleanly compared to tools that show a diff preview.

highSecurity

Fewer security guardrails than more established AI coding assistants

As a newer tool in a smaller ecosystem, Zed AI has less institutional knowledge built into its guardrails — it is less likely to flag insecure patterns in generated code like missing authentication or unsafe deserialization.

mediumBugs

Limited codebase context compared to dedicated AI coding assistants

Zed AI operates primarily on open files and the immediate context rather than indexing the full codebase, so suggestions may not account for existing utilities, established patterns, or dependencies defined elsewhere in the project.

MongoDB testing issues we check for

Testing-specific MongoDB problems that need attention before production.

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.

security

Connection string in source code

MongoDB Atlas connection strings with credentials hardcoded in source files instead of environment variables.

What our testing covers

Everything included when we testing your Zed AI MongoDB project.

Add unit tests for critical business logic in your Zed AI MongoDB app
Write component tests covering user interactions and edge cases in MongoDB
Set up integration tests for API endpoints and database operations
Configure test infrastructure with CI integration for your MongoDB project

Start with a self-serve audit

Get a professional testing of your Zed AI 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.

How it works

Three steps to get your Zed AI MongoDB app production-ready.

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you testing my Zed AI-built MongoDB app?

Yes. We regularly handle testing for MongoDB projects built with Zed AI. We understand Zed AI's code patterns and the specific MongoDB issues they introduce. Our review covers the full stack from frontend to backend.

What MongoDB testing issues does Zed AI typically create?

Common testing issues in Zed AI-generated MongoDB code include: inline edits applied directly to files without a diff review step, fewer security guardrails than more established ai coding assistants, limited codebase context compared to dedicated ai coding assistants. On the MongoDB side, we often find: nosql injection, missing schema validation, connection string in source code.

How much does testing cost for a Zed AI MongoDB project?

Start with our $19 automated audit to get a prioritized list of issues. For hands-on testing work on Zed AI-built MongoDB projects, we provide a fixed quote after reviewing the audit results. No surprises.

Get testing for your Zed AI MongoDB app

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

Tell Us About Your App