Fin scales AI agents, CI costs spike tenfold

Fin doubled its engineering capabilities by delegating predictable, low-risk tasks like testing to AI agents, according to Senior Principal Systems Engineer Brian Scanlan. However, scaling AI usage caused continuous integration environments to melt down with tenfold cost increases and public GitHub security issues. Scanlan argues that organizations are often too conservative with AI adoption and should establish clear expectations for engineers to use these tools. Open article →