Don't Reinvent The Wheel: A Developer's Guide To AI Reusability
devops.com, Friday, October 24th, 2025
Every great innovation brings on new challenges, and AI is no exception. As technology leaders instruct their workforces to default to using AI in their day-to-day tasks and as AI workflows become increasingly critical to software engineering practices, a familiar challenge persists: reusability.
There are libraries, packages and shared components available for reuse with traditional software, but developers are currently being tasked with building AI workflows from scratch. Having multiple developers within one organization writing the same AI prompts and workflows is inefficient, wastes resources, can result in inconsistent outcomes, and potentially hinders wider adoption of AI.
The solution is applying standard software engineering principles to AI: Build once, reuse everywhere. In this post, we will cover some of the ways we have been thinking about the challenge of AI reusability at GitLab.