Pipeline Performance & Efficiency Analysis

This cookbook demonstrates how to integrate Chicory AI with your data stack to proactively catch inefficient code and keep pipelines fast and stable.

The agent is triggered on pull requests or when a pipeline slows down, scanning code changes and suggesting fixes before merge.

Quick Start

  1. Copy the GitHub Action into your repo.

11KB
pr-analysis.yml

  1. Add your Chicory API secrets:

    • CHICORY_API_TOKEN

    • CHICORY_AGENT_ID

  2. Open a pull request with changes to your models or SQL code.

  3. Chicory AI will analyze the changes and post a performance review comment.

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