Adding GitHub OAuth to your JetBrains AI app? Let us review it.
Expert review for GitHub OAuth integrations built with JetBrains AI. We fix JetBrains AI-generated GitHub OAuth 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.
GitHub OAuth issues we find in JetBrains AI apps
Confusing OAuth Apps with GitHub Apps
AI-generated code mixes authentication patterns from OAuth Apps and GitHub Apps, which have different scopes, token formats, and installation flows.
State parameter not validated in callback
Generated code doesn't verify the state parameter returned in the OAuth callback, enabling CSRF attacks that could link arbitrary GitHub accounts to users.
Client secret exposed in frontend code
AI tools include the GitHub OAuth client secret in client-side code or frontend environment variables, allowing anyone to impersonate your application.
Start with a self-serve audit
Get a professional review of your GitHub OAuth 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 GitHub OAuth integration?
Yes. We regularly audit GitHub OAuth integrations in JetBrains AI-built apps. We check for proper error handling, security best practices, and production-ready configuration.
What GitHub OAuth issues does JetBrains AI typically create?
Common issues in JetBrains AI-generated GitHub OAuth code include: confusing oauth apps with github apps, state parameter not validated in callback, client secret exposed in frontend code. We fix all of these in our code review.
How much does it cost to fix my GitHub OAuth integration?
Start with our code audit ($19) to get a complete list of GitHub OAuth issues. Most integration fixes are included in our Fix & Ship plan ($199). For complex integrations, we provide a custom quote after the audit.
What GitHub OAuth 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 GitHub OAuth. Our review checks all of these and provides specific fixes.
Related resources
More JetBrains AI Integrations
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