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Council Gate leverages the power of the LLM Council to provide a robust, multi-model consensus layer for software development lifecycles. By running code snapshots through multiple AI models and synthesizing their results, it enables automated approval workflows and deployment gating based on customizable rubrics like security or performance. It integrates seamlessly with GitHub Actions, providing detailed audit transcripts and clear exit codes to control pipeline flow, ensuring that only code meeting high-confidence thresholds reaches production while flagging ambiguous cases for human review.
