GitHub commit data reveals 51% of commits are AI-assisted (MIT 2026). This trend is largely driven by the increasing adoption of code generation tools like GitHub Copilot. For instance, a developer might use Copilot to generate a function like calculate_total(), which then gets integrated into their project's order.py file.
One pattern that emerges from this is the use of AI-assisted code snippets, which can speed up development but also introduce potential errors if not properly reviewed. To mitigate this, developers can implement a code review process that specifically targets AI-generated code. This approach can be seen in the "AI-assisted Code Review" pattern, where a team sets aside time to review and validate AI-generated code before merging it into the main branch.
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