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Stories from the Factory Floor: Building a self-driving ops triage loop
How the Foundation team at LaunchDarkly automated ops triage with three Cursor agents that take an alert all the way to an open PR.
Ari Salem
Introducing the LaunchDarkly AI SDK
The LaunchDarkly AI SDK is available for Python and JavaScript and is the path we recommend for every new AgentControl integration.
Kelvin Yap
A human look at the AI future
Honest reflections on the uncertainty, excitement, and opportunities of the agentic era.
Sarah Day
You can't control what you can't see
What LaunchDarkly showed live on the Control Panel: how to see what's happening in production, act on it in real time, and test on data you already trust.
Kellye King
Podcast recap: Observability won’t save your agents
On a recent episode of the MonkCast, Marek Poliks spoke with James Governor about why governing agents from the outside leaves teams perpetually one step behind.
LaunchDarkly
Agent Optimization: Define what better means, and let AgentControl find it
Agent Optimization, now in beta in AgentControl, automatically searches for a better agent configuration against criteria you define.
Kelvin Yap
Stories from the Factory Floor: Building a software factory on our scariest code
We pointed coding agents at our oldest, most business-critical frontend. Here’s what it taught me about what a healthy AI software factory actually looks like.
Alexis Georges
Stories from the Factory Floor: Empowering agents with LaunchDarkly MCP tools
A new capability on the LaunchDarkly MCP server offers a practical look at what an automated software factory could look like in practice.
Ramon Niebla
Entering the AI software factory era
What automating the SDLC at LaunchDarkly taught me about speed, control, and the job of an engineer.
Jonathan Nolen
Observability is not enough
With runtime control, teams can extend observability by moving beyond reactive monitoring and toward proactive remediation.
Betsy Sallee
Speed isn't the risk. Lack of control is.
Why controlling code and agents in the AI era matters—and why we built AgentControl.
Kellye King
The Complete AI Experimentation Guide: Test, compare, validate, and ship safely
Artificial intelligence tools aren’t like traditional software.
Scarlett Attensil
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
Agent graphs bring control and visibility to multi-agent AI workflows
Agent graphs bring real-time control to multi-agent AI workflows.
Kelvin Yap
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
Understanding AI behavior: LLM observability in AI Configs
Get deeper visibility into model behavior and impact with LLM observability.
Kelvin Yap
Introducing agents, trends, and approvals for AI Configs
Build agent-based workflows, monitor AI behavior, and ship with more control.
Kirsten Ealy
AI application development best practices: From prototype to production
Take your AI-enabled application from prototype to production.
LaunchDarkly
