How Autajon Group Cut Code Review Time from Days to Minutes

Problem

Merge requests dragged on for hours or days, and manual reviews still let quality issues slip across multiple tech stacks.

Solution

CodeAnt AI embedded in Autajon’s on-prem GitLab, scanning the whole codebase in seconds to flag missed issues and standardize reviews.

Founded

1964

Revenue

€600 Million

Code Hosting

GitLab (on-prem)

Tech Stack

Vue, Node.js, JavaScript, Java, Python, HTML, CSS, Terraform, Bash

Industry

Packaging & Labeling

About

Autajon Group is a global manufacturer of high-end packaging, boxes, and labels, serving some of the most quality-sensitive industries in Europe and the U.S. With operations that span decades, consistency, security, and product precision are non-negotiable.

Challenge

During a retrospective with Autajon’s development team, two clear issues surfaced:

  • Merge requests were taking too long

  • Code reviews weren’t catching everything — quality issues still slipped through

Working across multiple stacks like Vue, JavaScript, and Java made it harder to standardize reviews and scale best practices. Manual review efforts were stretched thin, inconsistent, and vulnerable to oversight.

Merge request reviews were slow, and quality was slipping — now we’re fast and solid.

Michel Naud

Head of IT Solutions

Solutions

Autajon brought in CodeAnt AI as an intelligent reviewer — a new kind of team member — seamlessly integrated into their on-prem GitLab environment with no internet access required. This was a non-negotiable for Autajon: the deployment had to be fully secure and entirely self-contained within their infrastructure. CodeAnt AI delivered exactly that.

From the start, the system added immediate value:

  • Scans the entire codebase in seconds

  • Handles a versatile stack: Python, Vue.js, HTML, CSS, Terraform, Bash

  • Flags issues linters miss, like typos and hidden bugs

  • Suggests refactors, performance improvements, and code cleanup

  • Detects security vulnerabilities, duplication, and poor patterns

  • Runs in a fully private, enterprise-grade environment with no external exposure

We now have a new team member: CodeAnt AI. It sees our entire codebase in seconds, catches what linters miss, and suggests optimizations, refactors. It’s fully integrated into our on-prem GitLab — and the whole team adopted it instantly.

Michel Naud

Head of IT Solutions

The CodeAnt AI team worked closely with Autajon to deliver a seamless, secure integration — ensuring everything worked flawlessly behind the firewall.

The Outcome

  • Drastically reduced review time

  • Higher confidence in code quality and security

  • Standardized review practices across diverse stacks

  • Less manual burden on developers and reviewers

  • Immediate team adoption and trust

  • Zero external exposure — fully compliant with enterprise infosec policies

Key Takeaways

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Final Words

Autajon Group didn’t just reduce review time — they transformed how quality and security are maintained across teams. With CodeAnt AI, reviews are now faster, more reliable, and 100% secure, all inside a completely private GitLab deployment.

CodeAnt AI is highly appreciated by the entire development team — it was adopted immediately.

Michel Naud

Head of IT Solutions

Ship clean & secure code faster

Avoid 5 different tools. Get one unified AI platform for code reviews, quality, and security.

Ship clean & secure code faster

Avoid 5 different tools. Get one unified AI platform for code reviews, quality, and security.

Ship clean & secure code faster

Avoid 5 different tools. Get one unified AI platform for code reviews, quality, and security.