Review Pull Requests on github or Merge Requests on gitlab with Ollama using LLMs

This tool offers a practical approach to automated code review by leveraging Ollama-hosted LLMs directly within GitHub and GitLab workflows. Rather than relying on proprietary cloud models, it puts the review logic in the hands of developers who already manage their own local or self-hosted language models. The integration is straightforward: after setting up Ollama and configuring API credentials, the browser extension can analyze pull requests or merge requests in real time, flagging potential issues, suggesting improvements, and providing inline feedback. What sets it apart is the degree of customization—users can define specific rules or guidelines that the LLM follows, enabling teams to enforce coding standards consistently. However, this flexibility comes with overhead: managing Ollama and selecting the right model for code review requires technical comfort and experimentation. The tool is best suited for solo developers or small teams who want to catch common issues before merging, especially those already invested in the Ollama ecosystem. It complements human reviewers by handling routine checks like formatting, anti-patterns, and documentation gaps, but it is not a replacement for nuanced judgment. The browser extension format limits its scope to manual triggers rather than automated CI integration, and there are no premium tiers or pricing details available, suggesting it remains a niche, community-driven utility. For teams seeking a zero-cost, customizable AI code review assistant that respects data privacy by running locally, this tool is a compelling option—provided they are willing to invest in the underlying LLM setup.