Adding Vitest to your JetBrains AI app? Let us review it.
Expert review for Vitest integrations built with JetBrains AI. We fix JetBrains AI-generated Vitest code for security, error handling & production readiness. From $19.
Common JetBrains AI issues affecting integrations
Over-engineered enterprise patterns generated for simple startup use cases
JetBrains AI is trained on enterprise Java and Kotlin patterns, so it tends to generate verbose factory patterns, abstract base classes, and interface hierarchies for problems that could be solved with a simple function in a startup context.
Generated Spring Boot code includes unnecessary security exposure in default configurations
Spring Boot applications generated by JetBrains AI may include actuator endpoints, management ports, or H2 console access enabled in configurations that should be disabled or secured before production deployment.
Verbose boilerplate code increases bundle size and maintenance overhead
Java code generation in particular produces verbose getter/setter patterns, checked exception hierarchies, and XML configuration that modern Kotlin or Lombok-based approaches would handle with a fraction of the code.
Vitest issues we find in JetBrains AI apps
Mocking modules incorrectly with vi.mock()
AI-generated tests use vi.mock() with incorrect factory functions, missing auto-mock setup, or mock implementations that don't match the module's actual interface.
Only testing the happy path
Generated tests verify that functions work with valid input but skip error cases, edge cases, boundary values, and empty or null inputs.
Test isolation broken by shared mutable state
AI tools set up mock state in beforeAll instead of beforeEach, or modify shared variables across tests without resetting them, causing order-dependent test failures.
Start with a self-serve audit
Get a professional review of your Vitest integration 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 my JetBrains AI-built Vitest integration?
Yes. We regularly audit Vitest integrations in JetBrains AI-built apps. We check for proper error handling, security best practices, and production-ready configuration.
What Vitest issues does JetBrains AI typically create?
Common issues in JetBrains AI-generated Vitest code include: mocking modules incorrectly with vi.mock(), only testing the happy path, test isolation broken by shared mutable state. We fix all of these in our code review.
How much does it cost to fix my Vitest integration?
Start with our code audit ($19) to get a complete list of Vitest issues. Most integration fixes are included in our Fix & Ship plan ($199). For complex integrations, we provide a custom quote after the audit.
What Vitest best practices does JetBrains AI typically miss?
AI tools often skip webhook signature verification, proper error handling for API failures, retry logic with exponential backoff, and secure token storage for Vitest. Our review checks all of these and provides specific fixes.
Related resources
More JetBrains AI Integrations
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