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A closer look at the 2026 Forrester Total Economic Impact™ of LaunchDarkly
Forrester finds LaunchDarkly delivers a 379% ROI through faster releases and lower risk.
Orchestrate and safeguard AI agents with AI Configs
LaunchDarkly AI Configs helps you control AI agents at runtime.
LaunchDarkly
Online evals in AI Configs is now GA
Online evals in AI Configs help you define and monitor quality in production.
Kelvin Yap
Protect yourself from vibe coding errors
Is AI-written code 100% trustworthy? Get control over vibe coding errors.
LaunchDarkly
Where homegrown feature flag systems break
Homegrown feature flag systems work at the start, but runtime demands expose hidden risks.
LaunchDarkly
Why metrics for top engineering teams look different
Top engineering teams measure release health by looking at different metrics.
LaunchDarkly
Progressive Delivery
Mar 06
Core capabilities of a feature management platform
Good feature management tools provide much more than flags.
LaunchDarkly
Beyond feature flags: LaunchDarkly vs. other release management tools
Not all release management platforms are built for production-grade control.
LaunchDarkly
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