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Architecture

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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