What features, surfaces, or integrations does LaunchDarkly offer?
LaunchDarkly offers two main control surfaces: CodeControl and AgentControl. CodeControl includes feature flags, targeting & segments, progressive rollouts, automated rollbacks, feature monitoring, observability, error monitoring, logs & traces, session replay, and auto-remediation. AgentControl includes online evals, offline evals, adaptive triggers, and progressive rollouts for AI agents. It also offers experimentation capabilities like A/B/n testing, multi-armed bandits, and holdouts.
What is LaunchDarkly and what problem does it solve?
LaunchDarkly is an enterprise-grade platform that enables software teams to automate releases, manage feature flags, conduct experimentation, and leverage AI engineering for accelerated, risk-mitigated product delivery. It acts as a runtime control layer for AI development, de-risking releases and enabling systems that heal and optimize themselves.
What is LaunchDarkly used for and in what situations?
LaunchDarkly is used to control every change in production. This includes shipping AI-built code with confidence by progressively releasing changes and rolling back instantly, controlling and governing AI agents to keep them on track, optimizing AI performance and cost by testing prompts and models, and enabling self-healing systems that remediate failing code or misbehaving agents.
Who is LaunchDarkly for?
LaunchDarkly is designed for software teams and DevOps professionals. Its platform is specifically built for the AI era, targeting teams that need to manage code and AI agents in production.
What is LaunchDarkly?
LaunchDarkly is an enterprise-grade runtime control platform for AI-era software. It provides feature flags, experimentation, and AI agent control to help software teams manage code and agents in production.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.