From Prototype to Production: Safely Integrating LLMs into Your Existing Stack
From Prototype to Production: Safely Integrating LLMs into Your Existing Stack From Prototype to Production: Safely Integrating LLMs into Your Existing Stack Mpire Tech Blog In our last post, we explored where AI currently fits into the broader software development landscape. The consensus is clear: AI is no longer a parlor trick; it's a fundamental capability. But recognizing its value and actually shipping it to your users are two entirely different challenges. It’s surprisingly easy to build a local wrapper around an LLM API and call it a day. However, moving that prototype into a production environment exposes a new class of engineering problems. When you integrate non-deterministic AI models into deterministic software systems, the traditional rules of application architecture have to adapt. Here are the three core pillars we focus on when moving AI from the sandbox to production: 1. Def...