This guide demonstrates how to implement automated code review using Novita AI’s API and the MiniMax M3 model, which supports a 1-million-token context window. The workflow packages feature briefs, source files, test outputs, and repository notes into structured requests, then converts the model’s responses into actionable review findings with evidence-based recommendations. The authors emphasize keeping AI-generated comments tied to concrete code, tests, or logs rather than speculative observations, and recommend deploying such systems in observation mode before enabling pull request blocking behavior.