Martin Fowler

The transition of Generative AI powered products from proof-of-concept to production has proven to be a significant challenge for software engineers everywhere. We believe that a lot of these difficulties come from folks thinking that these products are merely extensions to traditional transactional or analytical systems. In our engagements with this technology we’ve found that they introduce a whole new range of problems, including hallucination, unbounded data access and non-determinism.

We’ve observed our teams follow some regular patterns to deal with these problems. This article is our effort to capture these. This is early days for these systems, we are learning new things with every phase of the moon, and new tools flood our radar. As with any pattern, none of these are gold standards that should be used in all circumstances. The notes on when to use it are often more important than the description of how it works.

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