Corbat FAQs

Question 1

What is Corbat's primary purpose?

Accepted Answer

Corbat guides AI code generation to adhere to specific coding standards, architectural patterns, and security best practices. Its core mission is to ensure AI-generated code is production-ready and passes code review on the first try, saving developers significant refactoring time.

Question 2

What types of coding standards and patterns does Corbat enforce?

Accepted Answer

Corbat enforces comprehensive code quality rules (e.g., max lines per method/class, meaningful naming), clean architecture patterns (like Hexagonal and DDD), robust error handling (custom exceptions with context), and OWASP Top 10 security best practices (input validation, no hardcoded secrets). It also auto-detects project stacks to apply relevant profiles.

Question 3

Which AI coding assistants and IDEs does Corbat integrate with?

Accepted Answer

Corbat integrates seamlessly with over 25 popular AI coding tools, including GitHub Copilot, Continue, Tabnine, and Amazon Q. It supports major IDEs such as VS Code, JetBrains, Cursor, Windsurf, Zed, and Claude Desktop, ensuring broad compatibility for development teams.

Question 4

How does Corbat contribute to production-ready and secure code?

Accepted Answer

By injecting detailed rules *before* AI code generation, Corbat ensures the output incorporates proper architecture (e.g., dependency injection, layer separation), comprehensive error handling (custom, context-rich exceptions), and critical security measures (like input validation and preventing hardcoded secrets), leading to high-quality, maintainable, and vulnerability-free code.

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