Signal-to-Noise Ratio in AI-Generated Pull Requests
AI agents flood review queues with polished code that hides more defects than human work ever did.
Marcus Lien
Investigative Contributor
Marcus is a former independent consultant who audited test automation programs for enterprise clients across healthcare and retail for nearly fifteen years before moving into investigative reporting. He specializes in quantifying what organizations actually spend—in time, money, and escaped defects—when verification strategies fail to evolve alongside their tooling.
4 stories
AI agents flood review queues with polished code that hides more defects than human work ever did.
Agents write code across files, hiding bugs in integration points reviewers miss.
Agents optimize test suites, not what humans actually need.
Review processes can't keep pace with AI agents writing code faster than humans can verify it.