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LaunchDarkly Blog

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Featured

Galaxy 2025: Building boldly in the age of AI

What’s new with Guarded Releases, AI Configs, Product Analytics, and more.

Akshay Kerkar picture

Akshay Kerkar picture

VP, Product Marketing at LaunchDarkly

Experimentation

Introducing Product Analytics: Understand user behavior directly from your data warehouse

Analyst Report

LaunchDarkly Recognized as a Spring 2025 G2 Grid® Report Leader in Feature Management

AI

AI Configs is now GA: Runtime control for AI prompts and models

Latest

Experimentation

Stop shipping blind! Instinct isn't enough to build great software

AI

Catch and revert AI failures in production (automatically)

AI

AI application development best practices: From prototype to production

Developer productivity

7 ways your DIY feature flag solution is slowing you down

Experimentation

How to design, prioritize, and run high-impact experiments

Experimentation

Why MABs are not just fancy A/B tests

Risk mitigation

What a recent cloud outage reminds us about control after deployment

Experimentation

How to run experiments on high-traffic websites & apps

Risk mitigation

RTO vs RPO: Key differences for modern disaster recovery

Experimentation

Making experimentation work for product managers

AI

LLM inference optimization: Tutorial & Best Practices

AI

Catch AI hallucinations before they break user trust

Developer productivity

What is a product feedback loop (and how do I implement it)?

Risk mitigation

The real reason your releases feel like fire drills—and how to change this

Experimentation

LaunchDarkly and Snowflake help you build, test, and learn—right where your data lives

AI

AI Configs is now GA: Runtime control for AI prompts and models

Developer productivity

How to build a strategy for release platform migration

Experimentation

How to build strong hypotheses for more insightful experiments

Experimentation

Introducing Product Analytics: Understand user behavior directly from your data warehouse

Galaxy 2025: Building boldly in the age of AI

Developer productivity

CyberArk: How integrating LaunchDarkly made feature management effortless

Risk mitigation

Defining regression thresholds for guarded rollouts

Experimentation

Randomization units as the foundation of reliable product experiments

Risk mitigation

Live demo: Guarded Releases in action

LaunchDarkly Tops G2 Grid for Feature Management

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