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Title: Our experience with AI-based code review | Packit

Open Graph Title: Our experience with AI-based code review | Packit

Description: One amazing benefit that modern LLMs come with is using them as a linter, or a pair programmer. You can easily get feedback on your code: just share it with the AI tool and ask a question. If the feedback is solid, your code is improved. If the feedback is poor, you can just disregard it. But overall with very little effort you can gain a lot.

Open Graph Description: One amazing benefit that modern LLMs come with is using them as a linter, or a pair programmer. You can easily get feedback on your code: just share it with the AI tool and ask a question. If the feedback is solid, your code is improved. If the feedback is poor, you can just disregard it. But overall with very little effort you can gain a lot.

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Opengraph URL: https://packit.dev/posts/code-review

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Domain: packit.dev

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article:published_time2026-07-07T12:54:05.000Z
article:authorhttps://github.com/TomasTomecek
article:tagAI,code-review,automation,development

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https://github.com/packit
Our experience with AI-based code reviewhttps://packit.dev/posts/code-review
Comparing frontier Claude models for our AI workflows (June 2026)https://packit.dev/posts/comparing-frontier-models-june2026
Packit now supports multiple release streamshttps://packit.dev/posts/multiple-release-streams
Forgejo is now supported in ogrhttps://packit.dev/posts/forgejo-in-ogr
Lessons learned: Building production AI automation for RHEL package maintenancehttps://packit.dev/posts/lessons-learned-ai-automation-rhel
https://github.com/TomasTomecek
Tomáš Tomečekhttps://github.com/TomasTomecek
Gemini-code-assisthttps://github.com/marketplace/gemini-code-assist
​https://packit.dev/posts/code-review#gemini-code-assist
Jiri Podivinhttps://github.com/jpodivin
contributed a style guidehttps://github.com/packit/packit-service/commit/80470bd6c41f49b8fff9950af3e758c64c9df77c
​https://packit.dev/posts/code-review#claude-code
github.com/packit/internal-ai-workflowshttps://github.com/packit/internal-ai-workflows
ai-code-reviewhttps://gitlab.com/redhat/edge/ci-cd/ai-code-review
​https://packit.dev/posts/code-review#ai-code-review
Juanje Ojedahttps://gitlab.com/juanjeojeda
​https://packit.dev/posts/code-review#future-exploration
​https://packit.dev/posts/code-review#conclusion
AIhttps://packit.dev/posts/tags/ai
code-reviewhttps://packit.dev/posts/tags/code-review
automationhttps://packit.dev/posts/tags/automation
developmenthttps://packit.dev/posts/tags/development
Edit this pagehttps://github.com/packit/packit.dev/tree/main/posts/code-review/index.md
Older PostComparing frontier Claude models for our AI workflows (June 2026)https://packit.dev/posts/comparing-frontier-models-june2026
Gemini-code-assisthttps://packit.dev/posts/code-review#gemini-code-assist
Claude Codehttps://packit.dev/posts/code-review#claude-code
ai-code-reviewhttps://packit.dev/posts/code-review#ai-code-review
Future Explorationhttps://packit.dev/posts/code-review#future-exploration
Conclusionhttps://packit.dev/posts/code-review#conclusion
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