Latest AI Posts

Delivering adaptive AI with LaunchDarkly and Snowflake Cortex

LaunchDarkly & Snowflake enable AI delivery with real-time config and runtime safety.

Neha Julka

Understanding AI behavior: LLM observability in AI Configs

Get deeper visibility into model behavior and impact with LLM observability.

Kelvin Yap

Prompt Engineering Best Practices

Poorly written prompts can throw entire AI projects off track.

LaunchDarkly

LLM RAG Tutorial: How to Build a Reliable Retrieval Pipeline

Retrieval Augmented Generation (RAG) integrates contextual information into LLMs.

LaunchDarkly

Introducing agents, trends, and approvals for AI Configs

Build agent-based workflows, monitor AI behavior, and ship with more control.

Kirsten Ealy

Shipping GenAI is messy; Poka made it manageable

Poka tests, tweaks, and ships GenAI features in real time without redeployment.

LaunchDarkly

Catch and revert AI failures in production (automatically)

Detect and revert risky GenAI changes—before users have a chance to notice them.

Bhargav Brahmbhatt

AI application development best practices: From prototype to production

Take your AI-enabled application from prototype to production.

LaunchDarkly

LLM inference optimization: Tutorial & Best Practices

Learn about the optimization concepts for LLM inference.

LaunchDarkly

Catch AI hallucinations before they break user trust

Ensure that your GenAI apps stay trustworthy, safe, and fast.

Kirsten Ealy

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

Ship smarter, safer, more responsible AI — without duct tape or redeploys.

Bhargav Brahmbhatt

9 AI deployment challenges LaunchDarkly helps mitigate

Jesse Sumrak

Prompt versioning & management guide for building AI features

Learn how prompt versioning can help you maintain consistency across your applications

Jesse Sumrak

DeepSeek vs Qwen: local model showdown in Python, featuring LaunchDarkly AI Configs

Compare locally running models in Python, using LaunchDarkly AI configs.

Tilde Thurium

AI model deployment: Best practices for production environments

A developer's guide to deploying ML models using LaunchDarkly AI Configs.

Jesse Sumrak

Introducing AI Experiments and AI Versioning

Test, optimize, and manage AI Configs to accelerate AI app development

Shabih Syed

DeepSeek vs Qwen: local model showdown featuring LaunchDarkly AI Configs

Compare DeepSeek-R1 and Alibaba’s Qwen AI models, using LaunchDarkly AI configs.

Tilde Thurium

Compare AI models in Python Flask applications — using LaunchDarkly AI Configs

Diane Phan

Add DeepSeek-R1 to your Python app in 7 minutes with LaunchDarkly AI Configs

Diane Phan

Upgrade OpenAI models in ExpressJS applications — using LaunchDarkly AI configs

In this tutorial, we’ll teach you to use AI configs to upgrade the OpenAI model version in an ExpressJS application.

Tilde Thurium

Introducing LaunchDarkly AI Configs (early access): release your next GenAI feature in hours, not weeks

Karishma Irani

Part 2: How Is GenAI Transforming the Software Development Lifecycle? 

In this four-part blog series, we’ll cover how GenAI is transforming software delivery, the new challenges it introduces, and how LaunchDarkly can help teams build and deliver new GenAI features within a matter of hours, not weeks. 

Steve Zegalia

Part 1: Keeping Up With The Pace Of GenAI Innovation

In this four-part blog series, we’ll cover how GenAI is transforming software delivery, the new challenges it introduces, and how LaunchDarkly can help teams build and deliver new GenAI features within a matter of hours, not weeks. 

Steve Zegalia

Boost Your Next.js Reality TV Scenario Generator: Rate Limiting and Targeting with Arcjet and LaunchDarkly

Reduce risk in your AI-powered apps by implementing rate limiting with Arcjet and leveraging LaunchDarkly’s targeting capabilities.

Erin Mikail Staples