
Reduce token waste on rework, duplicated code and complexity
Audit your codebase for the complexity and quality gaps introduced by AI, and feed the lessons back to your agents so they get it right next time. Less rework, fewer tokens, better code.
Kerno Audit analyzes codebases for complexity and quality issues related to AI-generated code, enabling developers to reduce rework and optimize token usage. It integrates with GitHub to provide actionable insights for improving future code submissions.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 6 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.