Few bugs in Go are as disorienting as this one: you return nil from a function, check the result against nil, and the check fails. No type assertion panic, no runtime error — just a quiet wrong answer that sends you down a debugging rabbit hole.

In the Go runtime, the scheduler is the engine that manages how thousands of goroutines are multiplexed onto a limited number of operating system threads. To ensure system responsiveness and prevent “resource hogging,” Go employs a mechanism called preemption.

Go’s simplicity makes it easy to write code, but architecture questions — how to structure a codebase, how to decouple components, how to handle dependencies — consistently come up in senior-level interviews.

Python is the default language for inference servers, and for good reason: PyTorch, HuggingFace, and most ML tooling are Python-first. But if the rest of your stack is Go, you end up with a Python sidecar just to call model.forward(). That sidecar needs its own container, its own health checks, its own deployment pipeline, and its own debugging story.

A goroutine leak is one of the most insidious bugs in Go. Unlike a memory leak in C, nothing crashes. No panic, no OOM killer. Your service just slowly grows in memory and CPU usage over hours or days until it falls over — or someone notices the goroutine count in a dashboard.

Go’s error handling is explicit by design: errors are values, returned like any other value, checked by the caller. It is one of the most frequently discussed topics in Go interviews because it differs so sharply from exception-based languages.

defer is one of Go’s most useful features and one of its most misunderstood. The documentation is precise: a deferred call runs when the surrounding function returns — not when the surrounding block or loop iteration ends. That single sentence is responsible for resource leaks, silent data corruption through named returns, and unnecessary performance overhead that persists until you know to look for it.