Your AI stack will change again. Stop rebuilding it.

AI-assisted software development stacks should be designed around stable workflows rather than rapidly changing models, coding tools, or vendor-specific agents, since model performance, pricing, and specialization can shift within months. The recommended approach is to buy commodity infrastructure such as sandbox runtimes, container isolation, compute, and model access while retaining control over the higher-value judgment layer: task evaluation, model routing, approval gates, workflow definitions, and audit trails. A genuinely model-agnostic workflow allows teams to replace a model through configuration rather than redesigning review processes or compliance tooling, although maintaining effective routing still requires ongoing evaluation of real-world cost and quality. Upsun Dispatch presents itself as a platform based on this approach, aiming to keep development workflows stable while allowing organizations to connect and switch among AI models as the market evolves.

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