From Code Tsunami to Controlled Innovation: Building AI-Powered Products at Scale

Executive Dinner & Fireside Chat: An Evening with LaunchDarkly’s CEO and AWS

November 11, 2025 - London, England

Visionaries

James Henderson-Mills LaunchDarkly
James Henderson-Mills

Speaker: Director, Solutions Engineering, EMEA

LaunchDarkly

About Me

Leads the EMEA presales team in helping enterprises accelerate software delivery and reduce risk. With more than a decade in pre-sales leadership, James has built and scaled high-performing teams that partner with customers on their most critical technology initiatives. He combines deep technical expertise with a pragmatic, customer-first approach, shaping strategies that drive measurable business impact.

November 11, 2025

Agenda

All times United Kingdom Time

6:00 PM-9:30 PM

From Code Tsunami to Controlled Innovation: Building AI-Powered Products at Scale

AI copilots and LLM-powered applications have turned software delivery from a steady current into a relentless tsunami. While tThis acceleration enables teams to servedelight customers faster than ever before, but it also introduces extreme risk when code volume floods production without proper control or measurement.

Join Edith Harbaugh, LaunchDarkly Co-founder and CEO, for an exclusive executive dinner and fireside chat with James Henderson-Mills, Director of Solutions Engineering, and Dr. Kristof Schum, Generative AI Leader, at Amazon Web Services as they discuss this challenge. 

Drawing from her experience building LaunchDarkly and working with over 5,000 customers, from Fortune 50 enterprises to AI-native startups, Edith will share:

  • How AI has fundamentally changed the volume and speed of code reaching production
  • Strategies for balancing speed-to-market with safety in highly regulated and enterprise environments
  • What successful teams do differently when shipping AI-powered features
  • Practical frameworks for self-healing, self-optimized delivery systems

This conversation is for CTOs, VPs of Engineering, and product leaders managing the shift from traditional feature development to AI-powered product experiences.


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