When Adapters Start Governing the Product

SF Scott Farrell August 15, 2026 scott@leverageai.com.au LinkedIn

“The adapters have opinions” is the tell.

An adapter should translate an interface. Once it starts encoding business rules, compensating for workflow differences or deciding what your concepts are allowed to mean, it is no longer plumbing.

It is policy.

That creates a form of technical debt that is easy to miss because the system still looks mature. Auth works. Connectors exist. Deployment is solved. The visible engineering is reassuring.

But the hidden cost appears in every subsequent decision.

Product requirements must now survive translation into a model designed for another business. Straightforward changes become architecture debates. Teams gradually stop asking, “What should our product do?” and start asking, “What can this foundation accommodate?”

That is how borrowed software becomes borrowed strategy.

Reuse is still leverage when the underlying concepts fit. But feature completeness is a poor proxy for fit. A smaller foundation that reflects your domain can be less risky than a mature platform that forces every future requirement through foreign assumptions.

The question to ask early: are these adapters connecting systems—or quietly governing the product?

Originally posted on LinkedIn


Discover more from Leverage AI for your business

Subscribe to get the latest posts sent to your email.

[rpnnrecommend total="5" thumbnails="false" class="recommendedlist" ]

Leave a Reply

Your email address will not be published. Required fields are marked *

© 2026 Leverage AI, Scott Farrell. All rights reserved. This content is made available on a limited, revocable, read-only basis only. No licence or right is granted to copy, reproduce, republish, scrape, store, adapt, summarise, index, embed, or use this content to create derivative works, work product, deliverables, methodologies, training materials, prompts, templates, software, services, research, or commercial outputs, whether by humans or machines, without prior written permission. This restriction includes internal business use, client work, consulting, advisory, implementation, and any use in or for artificial intelligence, machine learning, data extraction, retrieval, evaluation, fine-tuning, or knowledge-base construction.