---
title: "Scaling out Distroless adoption with AI"
url: https://daily.dev/posts/scaling-out-distroless-adoption-with-ai-yz6ua4r3t
source_url: https://engineering.grab.com/scaling-out-distroless-adoption-with-ai
type: article
source: "Grab Tech Blog"
published: 2026-06-12T03:05:17.713Z
updated: 2026-06-12T03:05:41.406Z
tags: ["containers", "ai-agents", "claude-code"]
reading_time: 12
upvotes: 0
comments: 0
language: en
---

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# Scaling out Distroless adoption with AI

**[Grab Tech Blog](https://daily.dev/sources/grab)** · 12 min read · 0 upvotes · 0 comments

## Summary

Grab migrated 900+ services from Ubuntu to Distroless container images to reduce CVEs and shrink attack surfaces. The key challenge was that ~400 services lacked Medium Tests (integration tests using Testcontainers that spin up real Docker containers in CI), which were required to safely verify Distroless migrations. An agentic workflow using Claude Code, MCP integrations (GitLab, Glean, Sourcegraph), and a skills-based knowledge system automated test scaffolding and Dockerfile patching at scale. The agent detects eligible services, scaffolds tests, fixes failures, raises draft MRs, and monitors CI pipelines — with humans approving every merge. Over 1.5 months, 100+ medium test MRs were raised, reducing per-service effort from 1–3 engineer-days to ~0.1 days. Distroless adoption grew from 52.7% to 70.8% across 1,408 services between December 2025 and April 2026.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.grab.com/scaling-out-distroless-adoption-with-ai>

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---

Tags: [#containers](https://daily.dev/tags/containers), [#ai-agents](https://daily.dev/tags/ai-agents), [#claude-code](https://daily.dev/tags/claude-code)

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