Agents now write most PRs in many teams. Often another agent reviews them. Yet almost nothing merges without a human, because nobody can show where the agents are safe to trust. Writing code got automated. Trusting it didn't.
Public benchmarks won't tell you. On real applications, agents resolve 38.6% fewer issues than on popular libraries (SWA-Bench, ICML 2025). Your git history is a better benchmark. Every revert, hotfix and follow-up fix points back to a PR, the agent that wrote it and the review that missed it.
This talk shows how to measure coding and review agents on what actually shipped, with data from real teams. 1 in 5 PRs that a review agent graded "perfect" still introduced a bug. On 78% of PRs, human review changed nothing. We trace one escaped bug end to end, go through the four failure modes behind most review misses, and give you a recipe to run on one repo next week.
Put your tools, products, and engineering work in front of builders working with agentic AI.