Developer builds two-agent code review loop for local Ollama LLM workflows

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A developer has created a dual-agent code review system designed to improve the reliability of local large language model (LLM) workflows using Ollama. The setup uses two agents — a Reviewer that analyzes code changes for bugs, security issues, and missing tests, and a Verifier that challenges and filters out weak or unsupported findings. The goal is not to make the AI infallible, but to help developers catch questionable claims before acting on them. The workflow has been packaged into a desktop application called HAICHI, available free for Windows and Linux, which keeps all workflow state locally and inspectable. HAICHI connects exclusively to local Ollama models, ensuring that private workspace context is never sent to external services.

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