AI coding agents are useful in isolated demos; the hard problem is making them controlled enough to ship production code. At Delphi, we built an agentic software factory that turns product specs and engineering tickets into scoped pull requests, then routes those PRs through reviewer agents, CI, browser verification, and merge gates.
This session breaks down the operating system around the agents: how we package repo context, encode architectural rules, isolate attempts in worktrees, make agents cite source-of-truth patterns, prevent drift from legacy code, and decide what should stay human-controlled. I will also cover failure modes we hit in production: stale context, over-broad diffs, flaky tests, review spam, false confidence, and agents copying the wrong pattern.
Attendees will leave with a practical blueprint for moving from “agent writes code” to a controlled delivery pipeline for agent-generated software
AI Engineer at Delphi AI in San Francisco, Valentin builds production AI systems for digital twins, agent behavior, and AI-assisted engineering workflows.
Friday September 11, 2026 14:40 - 15:05 JST Hall C
