How to evaluate Sourcegraph on your own codebase

In evaluating the effectiveness of Sourcegraph for improving code retrieval and task completion in coding agents, the study highlights that better code retrieval does not necessarily equate to enhanced task completion. The effectiveness of Sourcegraph depends on various factors such as task complexity and codebase structure rather than size. Tests on 288 tasks indicated improvements in file-level F1 and recall but showed no significant change in aggregate task-completion rewards. The cost-effectiveness of Sourcegraph varied, saving costs in broad searches but increasing them in localized tasks. The study emphasizes the importance of classifying tasks based on localization difficulty and adjusting evaluations to focus on tasks that require genuine discovery rather than those easily solvable with basic commands. It proposes a method for assessing Sourcegraph's impact on specific workflows, suggesting that the results should guide decisions on whether Sourcegraph provides efficiency and capability benefits tailored to an organization's coding environment.

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