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Code snippets are prevalent, but are hard to reuse because they often lack anaccompanying environment configuration. Most are not actively maintained,allowing for drift between the most recent possible configuration and the codesnippet as the snippet becomes out-of-date over time. Recent work hasidentified the problem of validating and detecting out-of-date code snippets asthe most important consideration for code reuse. However, determining if asnippet is correct, but simply out-of-date, is a non-trivial task. In the bestcase, breaking changes are well documented, allowing developers to manuallydetermine when a code snippet contains an out-of-date API usage. In the worstcase, determining if and when a breaking change was made requires an exhaustivesearch through previous dependency versions.  We present V2, a strategy for determining if a code snippet is out-of-date bydetecting discrete instances of configuration drift, where the snippet uses anAPI which has since undergone a breaking change. Each instance of configurationdrift is classified by a failure encountered during validation and aconfiguration patch, consisting of dependency version changes, which fixes theunderlying fault. V2 uses feedback-directed search to explore the possibleconfiguration space for a code snippet, reducing the number of potentialenvironment configurations that need to be validated. When run on a corpus ofpublic Python snippets from prior research, V2 identifies 248 instances ofconfiguration drift.

V2: Fast Detection of Configuration Drift in Python