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Why "free" tools aren't free
DIY tools are great at the start...
LaunchDarkly
A false sense of security: Guardrails don’t prevent incidents
Tools alone aren't enough.
LaunchDarkly
Introducing sequential testing for LaunchDarkly Experimentation
Sequential testing lets you adapt quickly and check results as you go.
Cameron Savage
AI-generated code ships fast, but runtime control hasn’t kept up
AI is speeding up code generation, but control in production is lagging behind.
Metric Data Sources: import multiple tables for warehouse-native experimentation
Bring your own warehouse tables and schemas to power experimentation
Eric Wang
Introducing LLM Playground for AI Configs
Test, compare, and trace LLM prompt and model variations before they reach production.
Kelvin Yap
LLM Evaluation: Tutorial & Best Practices
Learn how to properly evaluate large language models in various applications and contexts.
LaunchDarkly
Introducing stratified sampling for LaunchDarkly Experimentation
Support fair, reliable experiment outcomes by eliminating hidden sample bias.
Neha Julka
Meet the new navigation in LaunchDarkly
A cleaner, more focused navigation reduces noise and helps you move faster.
Sruthy Kumar
Creating better runtime control with LaunchDarkly and AWS
Ship bold AI changes without the guesswork.
Neha Julka
Introducing Audiences: See who your flags are really impacting
Instantly trace who saw your flag and what happened next.
Rachel Groberman
Online evals: LLM-as-a-Judge
Online evals in AI Configs give teams quality signals to successfully ship AI changes.
Kelvin Yap
Join us at AWS re:Invent 2025
Visit us at booth #1339!
Neha Julka
New Experimentation tools for PMs who test, learn, and move fast
Test, learn, and ship faster with new Experimentation tools.
Allison Rogers
Delivering adaptive AI with LaunchDarkly and Snowflake Cortex
LaunchDarkly & Snowflake enable AI delivery with real-time config and runtime safety.
Neha Julka
Less clutter, more control: Manage flag permissions at scale
Preset Role Scope and Flag Lifecycle Settings can help you issue cleaner, faster releases.
Bhargav Brahmbhatt
Understanding AI behavior: LLM observability in AI Configs
Get deeper visibility into model behavior and impact with LLM observability.
Kelvin Yap
The Metrics glow-up: Smoother, smarter, simpler
Experience a faster, simpler way to build, manage, and trust your metrics.
Sruthy Kumar
Prompt Engineering Best Practices
Poorly written prompts can throw entire AI projects off track.
LaunchDarkly
Our October 20 Service Disruption: What Happened, What We Learned and How We’re Improving
Sonesh Surana
Accelerating release safety with LaunchDarkly Vega and GitHub
Using Vega and GitHub together increases your release control plane.
Neha Julka
Multiple Multi-Armed Bandits
Run multiple MABs on one flag to optimize experiences in parallel.
Scott Shindeldecker
The developer's guide to free feature flagging services
Feature flags let you deploy code safely, test in production, and roll back instantly.
Jesse Sumrak
How to learn more from the features you ship
Turn every feature into a chance to learn.
Allison Rogers
LaunchDarkly Tops G2 Grid for Feature Management
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