Minimal Reproduction

A minimal reproduction is the smallest set of steps, inputs, code, and environment details needed to make a bug happen again. It is a debugging tool that turns a vague report into something another person can run, inspect, and verify.

## Definition
A minimal reproduction removes unrelated details while preserving the failure. It should answer four questions: what command or action is run, what input is required, what result happens, and what result was expected. It is not always a tiny repository. Sometimes it is a single API request, a failing test, a SQL query, or a short UI sequence.

## Use case
Minimal reproductions are useful when a bug crosses ownership boundaries. A frontend developer can show the exact API response that breaks rendering. A backend developer can show the smallest request that returns the wrong status code. A CI failure can be reduced to a command and environment difference. The reproduction lowers the cost of helping.

## Boundary
Minimal does not mean incomplete. If the failure requires a timezone, feature flag, dependency version, or missing environment variable, that detail belongs in the reproduction. Remove noise, not the cause. Also avoid including private tokens, customer data, or screenshots with secrets. Replace them with safe placeholders that preserve shape.

## Practical interpretation
Before asking for help, try to remove one dependency, one file, or one step. If the bug still appears, keep reducing. Stop when removing more would make the bug disappear or hide the actual cause. A good minimal reproduction is small enough to run and specific enough to fail for the same reason.

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