Calling all control freaks

AWS re:Invent

Booth #1645

Nov 30-Dec 3

Runtime control for
AI control freaks.

Calling all control freaks: Meet with us at AWS re:Invent and learn how to release safer AI code and agents, maintain control in production, and enable systems that heal and optimize themselves with LaunchDarkly.

01Move at AI speed without losing control.
Learn what runtime control looks like and automatically manage AI code and agent behavior in production—no redeploys or human intervention needed.
02Get hands-on demos.
Come see firsthand how LaunchDarkly helps development and business teams move faster with less risk through a hands-on demo with our team.
03Catch LaunchDarkly sessions.
Hear our experts share what's possible with our platform and AWS. From the big picture to granular insights and best practices, we’ll be covering something for everyone.

Meet

Connect
with our team.

Meet our executive and leadership teams for in-person demos, product roadmap walkthroughs, and deep dives into our AWS integration.

Book a one-on-one meeting with our team at AWS and receive a diagnostic assessment of where you stand on the path to an AI-powered software factory.

Learn

Don't miss our re:Invent sessions.

Edith Harbaugh, CEO, LaunchDarkly
AI isn't just making software faster; it's changing how software is produced. Engineering teams now run agents that write code, review PRs, validate releases, and deploy around the clock. The promise is real, but so is a new problem: How do you stay in control of systems that never stop evolving?
LaunchDarkly CEO Edith Harbaugh argues the defining challenge of the AI era isn't generating code; it's controlling autonomous systems in production, where agents drift, and the old detect-fix-redeploy playbook breaks down. She'll share what LaunchDarkly learned building its own AI software factory, and how engineers stay in charge.
VenetianMON NOV 304 PM–5 PM PT
Jonathan Nolen, Chief Product Officer, LaunchDarkly
Tim Cook, Dir. Product Management, LaunchDarkly
Everyone's talking about AI software factories. Far fewer have actually built one. In this panel, engineering leaders, partners, and teams putting agents into production go past the hype to the real work: where agents accelerate delivery, where they break, and what it takes to keep humans in control as autonomy scales. Expect specifics, not theory—what worked, what didn't, and what they'd do differently.
Whether you're experimenting with coding agents or scaling toward autonomous delivery, you'll leave with practical patterns for building a factory that's faster and safer. Join us for an honest conversation about engineering at agent speed.
Caesars ForumTUE DEC 11 PM–2 PM PT
Kevin Cochran, Sr. Manager, Systems Engineering, LaunchDarkly
Alex Lawrence, Dir. Technical Marketing, LaunchDarkly
Welcome to the only factory builder where the thing you're automating is the software delivery pipeline itself. Just like your favorite base-building games, you'll start with nothing skeleton and a plan, then construct the machine piece by piece: Wire up a LaunchDarkly Factory agent graph powered by Amazon Bedrock, lay down a CI process, and watch AI-generated code flow down the line and get built automatically.
The factory must grow. Add a second Agent Graph to validate inputs and judge gameplay, bolt on new features, and optimize your throughput. And because no factory run is complete without a stress test, you'll throw garbage inputs at your creation to see whether your agents catch the chaos or the whole line jams.
No conveyor belts required—just AgentControl, Agent Graphs, and the factory doing the heavy lifting.
VenetianTHU DEC 39 AM–12 PM PT