The new engineering operations playbook
June 17 · 11 AM ET
AI coding tools are making individual engineers faster. But speed without structure creates new problems — and most of them land on engineering operations.
When engineers and their agents generate more code, the operational questions multiply. How do you maintain quality standards when half the code is AI-generated? Who owns all that new code? And how do you measure any of this when the old baselines no longer apply?
For engineering operations leaders, AI is a reason to rethink how your entire function works.
Join Fred Calvez (Senior Director of Product & Engineering Operations, Smartly) and Rachel Magasweran (Director, Product Operations, Staffbase) for a conversation about what AI means for the people responsible for how engineering organizations plan, execute, and scale.
We’ll cover:
- How to embed quality standards, governance, and code ownership expectations directly into AI-powered workflows
- What changes about productivity measurement when AI shifts the baseline, and how to avoid metrics that reward the wrong things
- How engineering operations is evolving from process support into a strategic function, and why AI accelerates that shift
Can’t make it live? Register anyway — we’ll send you the recording.
