How Autajon Group Cut Code Review Time from Days to Minutes

Founded:

1964

Revenue:

€600 Million

Industry:

Packaging & Labeling

Code Hosting:

GitLab (on-prem)

Tech Stack:

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

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.

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

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

Michel Naud
Head of IT Solutions

Solution

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

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

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.