Vaidas Razgaitis describes the handoff between machine learningMachine learning is a branch of AI in which systems learn patterns from data to make predictions or generate outputs, rather than relying only on rules explicitly written for each task. researchers and production engineers at homebuilding software company Higharc. He proposes a research document that explains domain context, business goals, data types, persistence and the system architecture.
He outlines a Python monorepo of isolated services behind a gateway, each with API, business logic and data layers. Common build instructions and automated checks help teams integrate experimental work into a production system.
The final step is decomposing a prototype into reviewable changesCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration. with clear dependencies and involving the relevant specialists. Razgaitis offers questions teams can use to diagnose unclear handoffs, awkward repository structure or unpredictable delivery.
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