---
title: "Automating Code Reviews with AI: How Halodoc Scaled Quality Across the Full Stack"
url: https://daily.dev/posts/automating-code-reviews-with-ai-how-halodoc-scaled-quality-across-the-full-stack-ozrzjr8ty
source_url: https://blogs.halodoc.io/automating-code-reviews-with-ai-how-halodoc-scaled-quality-across-the-full-stack
type: article
source: "Halodoc"
published: 2026-07-10T06:47:38.651Z
updated: 2026-07-10T08:21:45.331Z
tags: ["cicd", "ai-coding", "prompt-engineering", "gitlab", "jenkins"]
reading_time: 14
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Automating Code Reviews with AI: How Halodoc Scaled Quality Across the Full Stack

**[Halodoc](https://daily.dev/sources/halodoc)** · 14 min read · 1 upvotes · 0 comments

## Summary

Halodoc built an AI-powered code review system embedded in their Jenkins Global Library CI/CD pipeline, reducing Merge Request feedback time from 30–45 minutes to 1–2 minutes. The system uses two LLMs — Gemini CLI for fast diff-based reviews and Claude Sonnet via AWS Bedrock for deeper contextual analysis — with stack-specific prompts covering Java, Angular, Swift, Kotlin, SRE, and Data Engineering repositories. A Comment Lifecycle Manager prevents duplicate discussions and auto-resolves fixed findings. Over six months, the platform processed 58,811 review invocations (~9,800/month) at roughly $1,600–$1,700/month in inference costs, with 85% of findings accepted by developers. Key lessons: prompt engineering and guardrails matter more than model selection, and lifecycle management is essential for developer trust.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.halodoc.io/automating-code-reviews-with-ai-how-halodoc-scaled-quality-across-the-full-stack>

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---

Tags: [#cicd](https://daily.dev/tags/cicd), [#ai-coding](https://daily.dev/tags/ai-coding), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#gitlab](https://daily.dev/tags/gitlab), [#jenkins](https://daily.dev/tags/jenkins)

[View this post on daily.dev](https://daily.dev/posts/automating-code-reviews-with-ai-how-halodoc-scaled-quality-across-the-full-stack-ozrzjr8ty)