# Best AI Code Reviewer for Fully Automated PR Merging?

**URL:** <https://community.deeplearning.ai/t/best-ai-code-reviewer-for-fully-automated-pr-merging/895051>\
**Category:** AI Discussions\
**Tags:** agents, ai-discussions\
**Created:** [September 10, 2026, 7:54pm UTC](https://community.deeplearning.ai/t/best-ai-code-reviewer-for-fully-automated-pr-merging/895051 "2026-09-10T19:54:40Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Thomas\_Evangelidis](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/thomas_evangelidis/32/138512_2.png) [@Thomas\_Evangelidis](https://community.deeplearning.ai/u/Thomas_Evangelidis)\
**Post date:** [September 10, 2026, 7:54pm UTC](https://community.deeplearning.ai/t/best-ai-code-reviewer-for-fully-automated-pr-merging/895051/1 "2026-09-10T19:54:40Z")

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Greetings,

I maintain a public MIT GitHub project and want fully automated PR review + merge with no human in the loop.

I already use a custom Kimi K3 reviewer (to which I have free access), and also have free access to DeepSeek V4 Flash, GLM-5.3, and Qwen3.8. CodeRabbit seems free for public OSS repos.

Has anyone compared CodeRabbit/Greptile/Qodo with strong open-weight models for real-world PR review? Which gives better bug/security detection and fewer false positives?

Would you trust one as an autonomous merge gate, or use CodeRabbit plus a second independent model?

Thanks,

Thomas