Open Code Review FAQs

Question 1

How does Open Code Review integrate into CI/CD pipelines?

Accepted Answer

Open Code Review seamlessly integrates as a quality gate with GitHub Actions and GitLab CI. It provides SARIF output for GitHub Code Scanning and supports various output formats for pipeline automation, ensuring code quality before merging.

Question 2

What is Open Code Review?

Accepted Answer

Open Code Review is the first open-source CI/CD quality gate built specifically for AI-generated code. It identifies and prevents unique defects like hallucinated imports, stale APIs, and security anti-patterns that traditional code analysis tools often miss.

Question 3

Does it support local LLMs and self-hosting for data privacy?

Accepted Answer

Yes, Open Code Review is free, open-source, and fully self-hostable. It supports 100% local analysis using local LLMs via Ollama, or can connect to any OpenAI-compatible provider, ensuring maximum data privacy and control.

Question 4

What kind of AI code defects does it detect?

Accepted Answer

It proactively identifies issues such as hallucinated imports (e.g., non-existent packages), stale APIs from outdated training data, context window artifacts, over-engineered patterns, and critical security anti-patterns across multiple languages.

Question 5

Which programming languages does Open Code Review support?

Accepted Answer

It offers comprehensive analysis with language-specific detectors for 6 programming languages: TypeScript, Python, Java, Go, and Kotlin, alongside checks for hallucinated package databases (npm, PyPI, Maven, Go modules).

Open Code Review

Open Code Review

Key Features

Use Cases

Key Features

Use Cases