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Production ML architecture: training-serving skew

The model is the small part. Training-serving skew, feature freshness, shadow deploys, drift detection, and monitoring that catches decay.

Machine Learning Architecture Python

10 min readAug 29, 2026vaibhavkothari

Agentic AI architecture: the loop and what breaks

An agent is a loop with tools and a stopping condition. Context growth, error handling, termination — and when to write a chain instead.

12 min readAug 29, 2026vaibhavkothari

MCP and tool calling: designing tools an LLM can use

Tool calling fails at the interface, not the model. Schema design, descriptions, error contracts, and what MCP actually standardises.

11 min readAug 29, 2026vaibhavkothari

Architecture tutorials & articles · Sythra Articles