An experienced software architect shares hard-won lessons about deploying AI systems in production, highlighting that staging environments often fail to capture critical context drift. This drift occurs when the real-world state changes between the AI model's input and its output execution, leading to incorrect decisions. The author advocates for a "snapshot contract" pattern, adapted from event sourcing, to ensure AI outputs are validated against a consistent state, and stresses the importance of prompt versioning to prevent silent failures. AI
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IMPACT Highlights critical production deployment challenges for AI systems, emphasizing context drift and prompt versioning.
RANK_REASON Author shares personal experience and architectural advice on deploying AI systems.