Built a chrome extension with JetBrains AI?
We'll make it production-ready.
Chrome extensions have unique security considerations — they run in users' browsers with elevated permissions, can access browsing data, and must pass Chrome Web Store review. AI tools can scaffold an extension quickly, but the security requirements, Manifest V3 compliance, and store submission guidelines need careful attention.
Chrome Extension challenges in JetBrains AI apps
Building a chrome extension with JetBrains AI is a great start — but these challenges need attention before launch.
Manifest V3 compliance
Chrome is migrating to Manifest V3, which changes how extensions work — service workers instead of background pages, restricted remote code execution, and new permission models. AI tools sometimes generate Manifest V2 code that won't be accepted.
Permission minimization
Chrome Web Store reviews extensions for excessive permissions. Request only the permissions you actually need. AI tools often request broad permissions ('tabs', 'storage', 'activeTab') when narrower permissions would suffice.
Content Security Policy
Extensions must comply with strict CSP rules. No inline scripts, no eval(), no remote code loading. AI-generated code sometimes violates these rules, causing the extension to fail silently.
Data privacy
Extensions that access browsing data must have a privacy policy, explain what data is collected, and handle it securely. Chrome Web Store requires this disclosure for approval.
Cross-browser compatibility
If you want to publish on Firefox, Safari, and Edge too, your extension needs to handle API differences between browsers. AI tools usually target Chrome only.
What we check in your JetBrains AI chrome extension
Common JetBrains AI issues we fix
Beyond chrome extension-specific issues, these are JetBrains AI patterns we commonly fix.
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.
Generated unit tests use JUnit 4 patterns in projects that have moved to JUnit 5
JetBrains AI sometimes generates JUnit 4 annotations (@Test from org.junit, @Before, @After) in projects configured for JUnit 5, causing compilation errors and requiring annotation migration.
Start with a self-serve audit
Get a professional review of your JetBrains AI chrome extension 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.
Frequently asked questions
Can I build a chrome extension with JetBrains AI?
JetBrains AI is a great starting point for a chrome extension. It handles the initial scaffolding well, but chrome extensions have specific requirements — manifest v3 compliance and permission minimization — that need professional attention before launch.
What issues does JetBrains AI leave in chrome extensions?
Common issues include: over-engineered enterprise patterns generated for simple startup use cases, generated spring boot code includes unnecessary security exposure in default configurations, verbose boilerplate code increases bundle size and maintenance overhead. For a chrome extension specifically, these issues are compounded by the need for manifest v3 compliance.
How do I make my JetBrains AI chrome extension production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most JetBrains AI-built chrome extensions, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a JetBrains AI-built chrome extension?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger chrome extension projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your JetBrains AI chrome extension production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.