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.
What You’ll Build
An agent that:
Scans PR diffs for inefficient code
Predicts pipeline performance impact
Suggests targeted fixes
Posts automated comments on PRs
Contents
Introduction – Introduction to setup and tools
Agent Creation – Create/Deploy your Chicory Pipeline Analysis Agent
Github Action – GitHub Action template explained
Sample Comments – Example PR reviews
Troubleshooting – Common issues & fixes
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