Publishing software for ten years is not only shipping it once. It is accepting to keep it alive under load, under regulatory change, under team turnover. Several of our products have been in production since 2015. That is not proof of perfection; it is the result of repeated choices that favor continuity over novelty.
Stable contracts, limited dependencies
We prefer stable API contracts over fashionable abstractions. A boring but durable interface costs less over ten years than a rewrite driven by a framework. Architecture decisions are documented when they are made - not reconstructed later - because team memory is not a reliable archive. “Magic” dependencies that are hard to replace are limited as far as practical. A product update is judged by friction removed, not by bullet count.
Data reversibility is part of the design from day one. A customer should be able to export what belongs to them without an improvised negotiation. That constraint shapes the data model, export formats, and sometimes the pace of change. It is not always comfortable for the publisher, but it aligns the product with a healthy contractual relationship. It is also a criterion when evaluating an AI vendor.
Debt as a pace choice
Technical debt is not a mysterious accident. It is often a pace choice: move fast today and accept a cost tomorrow. We sometimes choose to go slower so we can still fix, audit, and evolve without a full rewrite. Over a publisher’s timescale, that discipline is less glamorous than a crowded roadmap - and more decisive.
That discipline also underpins the AI Solution Factory: industrialize rather than stack prototypes. To see products built in that logic, browse the solutions page.
