No code goes to prod without Qodo: how Packsize governs AI-written code

Packsize, which develops on-demand packaging systems supported by embedded controls, cloud services, microservices, and web applications, faced a growing code-review bottleneck as AI coding tools increased the volume and size of pull requests. Because software defects can disrupt physical warehouse machinery and shared-package changes can affect many services, the company sought an independent AI review system rather than relying on the same models that generated code. It selected Qodo for its multi-model review approach, Azure DevOps integration, and context-aware analysis of repository rules and history. Qodo now reviews every pull request, including local pre-checks for developers, catching routine issues before human reviewers focus on more complex design and logic concerns. Packsize reports that the platform reduced review times, improved confidence in AI-generated code, and prevented a potential production outage by identifying a compatibility issue in widely used internal packages. The company plans to extend this validation approach as it explores more autonomous, agent-based software development.

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