LaunchDarkly Blog

The Complete AI Experimentation Guide: Test, Compare, Validate & Ship Safely

Artificial intelligence tools, particularly large language models (LLMs), aren’t like traditional software.

Scarlett Attensil

Release management tools: What they are and how they work

Jesse Sumrak

Feature Flags vs Feature Branching: Why You Need Both for Faster, Safer Releases

Feature flags control features after deployment, while feature branching manages code before merge

Jesse Sumrak

MLOps Lifecycle: Stages, Workflow, and Best Practices

Understand the MLOps lifecycle from data preparation to monitoring.

Scarlett Attensil

AI Pipeline: Preventing Drift in Production Systems

Learn why uncontrolled AI pipeline changes can cause more failures than bad models in production environments

Scarlett Attensil

Introducing Experiment Approvals

Add a safety check before experiment changes reach users.

Marlo Abramowitz

Adaptive Triggers: AI that corrects itself in production

Adaptive Triggers is now available in closed beta.

Kelvin Yap

Agent Optimization: Discover better agent configurations automatically

Agent Optimization is now available in private beta for eligible customers.

Kelvin Yap

The next era of software needs runtime control

Edith Harbaugh

Introducing AgentControl

AgentControl is the operational layer for managing agents in production.

Kelvin Yap

LLM Observability: Tutorial & Best Practices

LLM observability analyzes how models behave across development, testing, and production.

Scarlett Attensil

LLM Pricing Comparison: Tutorial & Best Practices

Large Language Models (LLMs) power a wide range of AI applications today.

Scarlett Attensil