A DevRelCon NYC state of mind 🗽 This year we're reminded of what an AWESOME community this is! Grateful for every conversation about AI, agents, and what's next.
LaunchDarkly
Software Development
Oakland, CA 49,845 followers
Empowering all teams to deliver and control their software.
About us
LaunchDarkly is the runtime control layer for the AI era. For over a decade we have helped engineering teams control what ships in production, starting with feature management and evolving into the infrastructure that governs how software and AI agents behave after deploy. With CodeControl and AgentControl, teams can update agent behavior in milliseconds, automatically roll back when something drifts, and govern every agent and feature across the organization from one place. No redeploys required. LaunchDarkly processes more than 50 trillion flag evaluations per day and serves some of the most demanding engineering teams in the world, including over a quarter of the Fortune 500. Founded in 2014 in Oakland, California by Edith Harbaugh and John Kodumal, LaunchDarkly has been named to the Forbes Cloud 100 for five consecutive years, Fast Company's Most Innovative Companies list, and the Inc. 5000.
- Website
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https://launchdarkly.com
External link for LaunchDarkly
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Oakland, CA
- Type
- Privately Held
- Founded
- 2014
- Specialties
- Continuous Delivery, Feature Flagging, DevOps, Feature Toggling, Feature Management, Experimentation, Technology Migration, Targeted User Experiences, and Mobile App Solutions
Products
![Click here to view LaunchDarkly]()
LaunchDarkly
DevOps Software
One platform to ship, govern, and continuously improve AI agents in the AI era. Engineering teams are shipping AI agents faster than ever. LaunchDarkly's AgentControl gives them the runtime control layer to match that pace, with real time visibility into production behavior, instant configuration changes without touching the codebase, and guardrails that catch problems before users feel them. When something drifts, Adaptive Triggers automatically correct it. When performance needs improving, Agent Optimization finds a better configuration for you.
Locations
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Primary
Get directions
1999 Harrison St
Suite 1100
Oakland, CA 94612, US
Employees at LaunchDarkly
Updates
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The kill switch for your AI agent is one sentence away. What if you could change a model, roll back a bad prompt, or run an experiment from a chat message without touching your codebase? Scarlett A. walks through exactly how that works with the LaunchDarkly MCP server. Setup takes five minutes, and the rest takes care of itself. full docs → https://bit.ly/4yuYWZz Speakeasy article → https://bit.ly/4yDaqdC
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Developers aren't just writing code anymore. As our CTO, Cameron Etezadi, puts it, software engineers are becoming frontline managers, guiding AI agents instead of doing every task themselves. Hear why the role of software engineering is changing in the AI era. 🎤 Watch the full episode now → https://lnkd.in/gfKZvzEb
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Setting goals that are impossible to hit without the right tools is how Cameron Etezadi, our CTO, thinks about driving real change on engineering teams. He joined New Relic NOW to share why "just be better" is the least helpful advice you can give, and what works instead. Watch the full episode → https://lnkd.in/guU5UcKi
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Nobody enjoys the post-alert dashboard spiral. There's a better way 👀 try it yourself: tutorial ⇢ https://bit.ly/3QZC3MZ code ⇢ https://bit.ly/3QZC3MZ
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Everyone starts somewhere. LD Academy is hosting a live session where we'll walk through everything you need to know to get started with the platform. No experience required! This is a great place to start for those of you who want to understand how LaunchDarkly works and why engineering teams use it to ship with confidence in the AI era. → We'll see you there: https://bit.ly/4haIcQT
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We're heading to the Malaysia Agentic AI Forum in Kuala Lumpur, and Renan Maluenda is taking the stage to talk about something every team shipping agentic systems needs to think about: how to move at AI speed and stay in control while doing it. → Come find us if you're there: https://bit.ly/4w0ULCW
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Melbourne, we're coming for you! 🍻🇦🇺 We'll be at BeerOps Melbourne on July 21, mingling with Australia's largest tech community. Come find us and let's get into what's going down with AI in production right now. Find us at the bar: https://bit.ly/4aGRQqE
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Your experiments should live where your data already lives...and now they can! A year ago, we brought warehouse-native Experimentation to Snowflake. Today we're bringing it to BigQuery, Databricks, and Redshift. Now you can run experiments on the data your team already trusts, wherever that data lives. Your warehouse stays the source of truth for everything. see how it works: https://bit.ly/3T2d108
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