Scaling Engineering Without Scaling Headcount: What AI-Accelerated Teams Do Differently
Engineering leaders are under increasing pressure to deliver more — faster, with higher quality — without the option to scale headcount. AI is quickly becoming the most powerful lever for meeting this challenge, but only when applied thoughtfully across the developer workflow. This conversation will explore how leading engineering teams are using AI to reduce toil, accelerate delivery, and improve reliability, while maintaining trust, ownership, and engineering standards.
This community roundtable will discuss what actually works in practice, where AI delivers the most leverage today, and how teams are evolving their operating models to scale sustainably.
Key discussion topics include:
- Where AI delivers the highest leverage in engineering today
Which parts of the developer workflow see the biggest impact from AI — and where human judgment still matters most.
- Reducing engineering toil without sacrificing quality or ownership
How AI can take on repetitive work (debugging, triage, detection) while preserving accountability and trust.
- AI as a force multiplier, not a replacement
What AI-accelerated teams do differently to increase output per engineer rather than simply automate tasks.
- Operationalizing AI across teams, not just tools
How leaders move beyond experimentation to embed AI into day-to-day engineering processes.
- Measuring impact beyond velocity
What metrics matter when evaluating AI’s effect on productivity, reliability, and business outcomes.
Join us for a practical conversation on how to apply AI thoughtfully and responsibly to drive real engineering impact.
We hope to see you there!
Questions? Contact [email protected]
