Building a Fully Local AI Code Review Infrastructure: Gitea × Ollama
Infrastructure#llm📝 Blog|Analyzed: Apr 28, 2026 15:23•
Published: Apr 28, 2026 14:27
•1 min read
•Zenn LLMAnalysis
This is a brilliantly practical guide for engineers looking to harness Generative AI without compromising data privacy. By combining Gitea, Ollama, and act_runner, the author provides a highly secure blueprint for on-premise environments. It is incredibly exciting to see accessible solutions that empower highly regulated industries to confidently adopt AI code reviews!
Key Takeaways
- •Cloud AI tools like GitHub Copilot or ChatGPT are often strictly prohibited by contracts and regulations in sectors like finance, healthcare, and defense.
- •The proposed system architecture ensures zero outbound network traffic during runtime, keeping proprietary source code completely secure.
- •The series utilizes Open Source tools such as Gitea and Ollama, specifically leveraging the Gemma 4 Large Language Model (LLM) for local inference.
Reference / Citation
View Original"For self-hosted/on-premise/closed-network sites where cloud AI cannot be used due to internal policies, we will explain an AI code review platform that combines Gitea, Ollama, and act_runner and 'does not generate outbound communication during operation.'"