S2:E7

AI Code Reviews with CodeRabbit and Sourcery

AI
23 min

Host

Jonny DaenenJonny Daenen

Guest

Hannes De SmetHannes De Smet

Code reviews are often considered a pain, resulting in quick approvals and bugs reaching production. CodeRabbit and Sourcery aim to solve this by letting an AI agent review your changes early on.

In this episode, data & platform engineer Hannes De Smet shows Jonny what he learned after exploring several AI Code Reviewers. Hannes demos both tools on a real code change, allowing a critical look at the quality of the suggestions, as well as the user experience. It turns out that, depending on the context, both could use some improvements.

Read transcript →

Chapters

  1. 00:00Intro: why AI code reviews?
  2. 02:53AI Reviewer 1: CodeRabbit
  3. 10:32What CodeRabbit catches (and misses)
  4. 12:18When AI comments become noise (80% disregard)
  5. 13:27Catching a PII issue
  6. 15:15AI Reviewer 2: Sourcery
  7. 19:14Cost & comparison
  8. 19:59What's the future of AI code reviews?
  9. 20:41Summary & takeaways

Tags

AI Code ReviewsPull Request AutomationCodeRabbitSourcerySoftware Development ToolsAI In ProgrammingCode QualityGitHub IntegrationDeveloper Productivity