AI Code Reviews with CodeRabbit and Sourcery

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.

Resources:

• CodeRabbit: https://www.coderabbit.ai
• Sourcery: https://www.sourcery.ai/
• Multi-workspace AI video: https://www.youtube.com/watch?v=E_kOAvmeTJ0

Note: This video is not sponsored or affiliated with CodeRabbit or Sourcery.

Creators & Guests

• Jonny Daenen - Host
• Hannes De Smet - Guest

Resources:

• Click here to watch a video of this episode.
  
• Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb

Chapters:

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

Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype.

Music by Aleksandr Karabanov from Pixabay