Upcoming events

London

June 28–29, 2027

Meetups
New York

September 15–16, 2026

Berlin

November 9–10, 2026

Startup made, enterprise grade: Earning trust, scoping tight, and shipping quality with a small team

Small teams are increasingly expected to build for enterprise-scale customers, and AI is changing how they get there. This talk explores how startups can ship enterprise-ready features with lean teams, what’s changed along the way, and how they’re adapting for what comes next.

Speakers: Frances Thai

Frances Thai
September 29, 2026
LeadDev Berlin promo

Berlin • November 9 & 10, 2026

Close the gap between what leadership expects and what’s actually possible at LeadDev Berlin.

Explore

Many startups have had to build upwards – planning, building, and maintaining products for teams much bigger than their own. AI has enabled this more than ever before. How do comparatively small teams ship enterprise-ready features to production, and how has that changed in the age of AI? We’ll chat honestly about the journey to the present, what we’ve changed along the way, and how we prepare for an ever-changing future.

Slides

About the speaker

  • Frances Thai
    Frances Thai

    Frances Thai is an engineer engineering leader who focuses on productionizing the features that matter most to the company’s largest enterprise customers.

More like this

LON 26 (8)

Look for the helpers

This is a talk about showing up for each other, in the work we do and in our communities at home.

LON 26 (16)

Detecting the dip: Turning noisy metrics into reliable production signals

How to move from noisy alerts to trusted signals by detecting the dips that actually matter to customers.

LON 26 (15)

The shadow culture: Why engineering principles fail under load

Why engineering principles collapse under pressure, and how redesigning systems makes the right behavior the easy default.

Dan Manges – NYC 26

From SDLC to AI-DLC: Changing how software is built

AI agents may be making code faster to write, but they’re also shifting the bottleneck further down the delivery process. This talk explores why proven practices like progressive rollout, observability, feature flags, and automated rollback are becoming essential for teams adopting AI at scale.