AI Engineer · September 25, 2026

AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile

video AI Engineering Model Evaluation

AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile video thumbnail

Why it matters

Daksh Gupta compares likely agent-written and human-written pull requests using Greptile’s enterprise review data. Authorship is inferred from metadata, while reverts, flagged issues and review rounds serve as quality proxies. He reports broadly similar aggregate results with different failure patterns, then describes validating related code and running applications in sandboxes. The observational comparisons do not control all differences in task selection or difficulty.

My takeaway: Treat authorship labels and review comments as imperfect measurements. Check security failure categories and application behavior alongside aggregate quality metrics, and retain realistic acceptance criteria as code volume increases.

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