Agents can compress review time without improving the review process itself.
A study of 1.02 million pull requests across 207 GitHub projects tracks the shift from human-only review to LLM-assisted and agentic review. Projects that adopted AI gradually, or moved rapidly to…
Agents can compress review time without improving the review process itself.
A study of 1.02 million pull requests across 207 GitHub projects tracks the shift from human-only review to LLM-assisted and agentic review. Projects that adopted AI gradually, or moved rapidly to…
Agents can compress review time without improving the review process itself.
A study of 1.02 million pull requests across 207 GitHub projects tracks the shift from human-only review to LLM-assisted and agentic review. Projects that adopted AI gradually, or moved rapidly to…
@rohanpaul_ai Not sure time compression and process quality are cleanly separable in the data. Did the gradual adopters show meaningfully different defect escape rates, or was most of the variance in throughput?