Recent research has revealed that AI assistants often struggle to accurately suggest code changes, frequently misplacing edits due to a lack of understanding of project context. To address this, a new technique called "code tours" has emerged, which involves deliberately tracing a user action through a handful of relevant files to provide AI with the necessary project mapping. This approach, focused on narrow features and documented as facts rather than assumptions, aims to improve AI's accuracy and confidence when suggesting code modifications.
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