Overview
Speedscale is a runtime validation tool designed to ensure AI-authored code behaves correctly by replaying real production traffic against changes. It captures actual request patterns and uses them to validate AI-generated code, identifying behavioral failures that traditional static analysis methods miss. By creating deterministic sandboxes with production context, Speedscale allows teams to replicate real production services, enabling every AI-assisted pull request to be validated against repeatable requests and responses. This helps engineers avoid assumptions about how code runs and provides a reliable way to ensure AI code integrates seamlessly with existing systems, reducing the need for rebuilding staging clusters.
Common tasks
Capture real production traffic patterns.Replay captured traffic against AI-authored code changes.Create deterministic sandboxes for testing.Validate payload formats, authentication, and SLAs.Generate validation reports for pull requests.Identify behavioral failures that static analysis misses.Mask sensitive PII data in traffic replays.