ソフトウェア変更のコントロールレイヤーを構築するため、1億4,300万ドルを調達しました。詳しく見る: ソフトウェア変更のコントロールレイヤーを構築するため、1億4,300万ドルを調達しました。

イベント・ウェビナー / オンデマンド / AI Code Quality Signals: Connecting Code Review Metrics to Engineering Outcomes

オンデマンド
Recorded March 202660 min

AI Code Quality Signals: Connecting Code Review Metrics to Engineering Outcomes

AI coding agents have made it easier than ever to quickly write code, but deciphering what good looks like, and ensuring that AI-generated code is improving outcomes, is harder and more important than ever. Sahil Bansal of CodeRabbit joins Marilyn Cole and Irene Ng of Jellyfish to walk through the CodeRabbit integration for Jellyfish: how to bring CodeRabbit code review metrics into Jellyfish, and how engineering leaders use those review signals alongside delivery metrics to understand code quality across their teams.

学べること

  • 01How the CodeRabbit integration for Jellyfish works
  • 02How to bring CodeRabbit code review metrics into Jellyfish
  • 03Connecting code review signals to engineering outcomes

登壇者

  • Sahil BansalSahil BansalSenior Product Manager, CodeRabbit
  • Marilyn ColeMarilyn ColeEngineering Manager, Jellyfish
  • Irene NgIrene NgSenior Software Engineer, Jellyfish