Doubling engineering throughput with AI: scaling agentic engineering across an org
In 2025, Fin (formerly Intercom) took on an ambitious goal: double the throughput of its engineering team, not by building fancy demos, but by using AI agents to get real features, built on a large existing SaaS codebase, into the hands of paying customers. In this talk Brian will go past the hype into the practicalities of scaling agentic engineering at the organisational level: the layers that actually matter, such as skills and codebase preparation, provenance, the SDLC process around agents, designing feedback and verification loops, and building evals that improve the system itself. He’ll share what has and hasn’t worked on the way beyond 2x. This talk is aimed at engineering leaders and staff+ engineers in established organisations trying to get real results out of working with AI agents.
