How a Short Code Tour Gives AI the Project Context It Needs

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AI coding assistants frequently suggest edits to the wrong files because they lack understanding of how different parts of a project connect to each other. A 2024 study by Sergeyuk, Golubev, Bryksin, and Ahmed found that developers most often use AI for writing and summarizing code, not for navigating codebases, with inaccurate suggestions being a top complaint. A 'code tour' addresses this by tracing a single user-facing feature from its trigger point through each relevant file to the final output. Rather than a full design document, it is a focused map covering only the files involved in one specific behavior, such as a profile save or a search query. Providing this structured trace to an AI assistant reduces guesswork and allows it to suggest precise, context-aware changes to the correct parts of the codebase.

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