Guides & ebooks
Report
The Control Gap Report: AI-Generated Code
AI has accelerated how we build, but most teams are flying blind in production. This report reveals why runtime control is becoming essential.
Checklist for Successful Adoption of Agentic AI in the SDLC
Engineering leaders need clear, end-to-end guidelines for adopting, scaling, and governing agentic AI as they transition to an agentic SDLC.
5 KPIs for Controlling Agents at Runtime
Fewer blind spots, faster containment, and agents that stay in control.
The Total Economic ImpactTM Of LaunchDarkly
Explore the cost savings and business benefits LaunchDarkly enables as a runtime control plane for feature management that helps teams release faster and safer, make real-time adjustments, and continue innovating.
The Build vs. Buy(ers) Guide
Why homegrown feature systems break, and how a runtime control plane closes the gap
The Feature Management Buyer’s Guide
What to expect from a modern feature management platform for runtime control, and how to evaluate your options.
The Practical Guide to AI Observability
Why observability is essential in the AI era—and why it's not enough.
Managing Risk in Modern Software Delivery
Experimentation: How Product and Engineering teams build better features with trusted data
4 New Rules for Shipping Software Faster—Without Risk
The top problems with shipping AI apps — and how to solve them
How runtime control helps you release faster, without risk
Metrics-Driven Guarded Releases
Get started by incorporating common engineering and critical business metrics.
