[Exec Dinner]Scaling Engineering Without Scaling Headcount: What AI-Accelerated Teams Do Differently
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[Exec Dinner]Scaling Engineering Without Scaling Headcount: What AI-Accelerated Teams Do Differently

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About this Event

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.

Join us in San Francisco for an exclusive dinner to 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:

  1. 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.

  1. Reducing engineering toil without sacrificing quality or ownership

How AI can take on repetitive work (debugging, triage, detection) while preserving accountability and trust.

  1. AI as a force multiplier, not a replacement

What AI-accelerated teams do differently to increase output per engineer rather than simply automate tasks.

  1. Operationalizing AI across teams, not just tools

How leaders move beyond experimentation to embed AI into day-to-day engineering processes.

  1. Measuring impact beyond velocity

What metrics matter when evaluating AI’s effect on productivity, reliability, and business outcomes.

This invite-only event is designed to create an intimate space for you to meet with a small peer group of high-caliber engineering executives to discuss challenges, exchange best practices, expand your professional network and more. 

We hope to see you there!

Questions? Contact [email protected]



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January 28, 2026
5:30 PM - 8:30 PM PST
164 Townsend St, Unit 12, San Francisco
Gradual HQ, San Francisco, CA
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