Review Agent
Reviews every pull request with enriched production context delivered through the Spark MCP server, catching performance regressions and cost spikes before they hit production. Ship faster with confidence.
Works on any Spark platform: Databricks, EMR, Dataproc, Fabric, and open-source Spark.
PR Reviewpipeline.scala
What you get
Reviews every pull request
Automatically inspects each PR for Spark performance regressions and cost spikes before they merge.
Real production context
Enriched Spark logs delivered through the Spark MCP server let the agent compare changes against how your jobs actually run.
Catches what CI misses
A passing test suite says nothing about runtime or cost. The Review Agent flags both, with suggested fixes.
Ship faster with confidence
Stop costly regressions at review time instead of discovering them in production.
Pull RequestSpark MCP ServerRegression Caught
