Automating the Experimentation Lifecycle with Kiro, AWS DevOps Agent, and LaunchDarkly. Summary: This is a summary of an article originally published by AWS DevOps Blog. Read the full original article here In the evolving world of software development, automating the experimentation lifecycle is becoming crucial for organizations aiming for agility and efficiency. The integration of tools like Kiro, AWS DevOps Agent, and LaunchDarkly allows teams to streamline their processes and enhance their deployment strategies. This approach not only simplifies managing feature flags but also enables teams to run controlled experiments, gather insights, and make data-driven decisions. The collaboration between AWS and LaunchDarkly brings forth a powerful combination that supports continuous integration and continuous delivery (CI/CD) pipelines. By automating the rollout of new features, teams can minimize risks and validate hypotheses faster, resulting in quicker feedback loops and improved product quality. Furthermore, using the AWS DevOps Agent with Kiro allows for seamless integration into existing workflows, turning experimentation into a natural part of the development lifecycle. This integration emphasizes the importance of DevOps practices in today's fast-paced tech environment. By leveraging these tools, organizations can foster a culture of experimentation, where teams feel empowered to innovate while maintaining stability. As more companies adopt these strategies, the future of DevOps looks promising, with an emphasis on collaboration, automation, and continuous improvement.

LaunchDarkly surpasses $200 million in ARR as demand for runtime control accelerates. By GlobeNewswire August 6, 2026 Enterprises shift AI spending toward runtime control fueling 25% growth; OutSystems veteran joins to scale go-to-market OAKLAND, Calif., Aug. 06, 2026 (GLOBE NEWSWIRE) - LaunchDarkly, the runtime control platform for software and AI agents, today announced it has surpassed $200 million in annual recurring revenue (ARR), growing more than 25% year over year, as enterprises increasingly invest in runtime control for AI-powered software delivery. The company also appointed Andy Pemberton as chief revenue officer to scale its global go-to-market organization. The milestones reflect growing enterprise demand for runtime control as AI transforms software engineering. Today, most teams use AI to accelerate development. But some teams are going further, building AI-powered software factories where agents take on increasingly large portions of the software lifecycle. As that shift unfolds, the challenge moves from generating code to controlling autonomous systems in production. Teams that solve that control problem will move faster, and more safely, than those that don't. "When I co-founded LaunchDarkly, the core belief was simple: speed and control shouldn't be in tension. AI has made that more urgent than ever," said Edith Harbaugh, co-founder and CEO of LaunchDarkly. "Teams aren't just shipping code, they're building systems of agents that act and evolve in production around the clock. LaunchDarkly provides the runtime control layer that makes these factories safe." Since launching AgentControl in May 2026, LaunchDarkly has seen strong market demand. Built on the same infrastructure that powers more than 50 trillion flag evaluations daily, AgentControl enables teams to manage prompts, models, tools, and policies as runtime configurations and optimize AI behavior against live traffic all without a full deployment cycle. Since launch, AI-related pipeline has nearly doubled, with demand split evenly between new and existing customers. "You can review a change before it ships; you can't review an agent's next thousand decisions," said Jonathan Nolen, SVP of product at LaunchDarkly. "An agent doesn't misbehave in code review - it misbehaves in production, in front of your customers, so that's where control has to live. AgentControl puts it there: teams see what their agents are doing, and when something drifts they can correct it in seconds - no pull request, no redeploy, no waiting. That's what runtime control provides." Scaling go-to-market leadership to meet enterprise demand To better support development teams through this AI transformation, LaunchDarkly is bringing in Andy Pemberton as chief revenue officer. Pemberton spent nearly a decade at OutSystems, rising from presales leadership to chief customer officer and ultimately chief revenue officer, where he led the company's global revenue organization across the Americas, EMEA, and APJ as it scaled to over half a billion in revenue. At LaunchDarkly, Pemberton will lead the sales, solution engineering, professional services, partners and alliances, sales operations, and customer success teams as the company scales to meet enterprise demand. "Andy has done this before; he's helped customers navigate transformations at scale, and that's exactly what we need for what comes next," said Harbaugh. Pemberton joins as LaunchDarkly builds on growing enterprise demand for runtime control, expanding from feature management to helping organizations safely operate AI-powered software factories. As AI agents become a core part of software delivery, LaunchDarkly's runtime control is the operational layer that keeps autonomous development fast, measurable, and governed. About LaunchDarkly LaunchDarkly is the runtime control layer for the AI era of software development. As AI accelerates the volume and pace of change hitting production, LaunchDarkly gives development teams the infrastructure to move fast without losing control of what they're building - controlling code, controlling agents, and acting instantly when something goes wrong. LaunchDarkly is the foundation that lets teams embrace the velocity AI makes possible without fearing what they can't contain. Trusted by thousands of customers worldwide, including a quarter of the Fortune 500, LaunchDarkly is headquartered in Oakland, California. Learn more at launchdarkly.com. Media Contact: Spencer Anopol Head of PR [email protected]