Feature Management Platform to build custom integrations, export data and automate work-flows
Latest Product Updates and Feature Enhancements on LaunchDarkly
LaunchDarkly launches AgentControl for AI agent operations
LaunchDarkly has introduced AgentControl, a new product for managing AI agents in production environments. This tool allows software teams to modify AI agent behavior without redeploying applications..., offering runtime intervention and operational oversight. It addresses issues like model drift and unpredictable outputs, enhancing AI software delivery by integrating runtime controls into AI systems.
LaunchDarkly introduces AgentControl to enable real-time AI agent ...
LaunchDarkly has launched AgentControl, a new feature management tool enabling real-time AI agent behavior modification in live environments. This product allows software teams to alter AI agent acti...ons instantly, enhancing operational AI governance. AgentControl offers features like benchmarking, progressive roll-outs, and trace-level observability, aiming to manage AI systems more effectively as they transition to production use.
LaunchDarkly Brings Runtime Control to the Agent Era
LaunchDarkly has introduced AgentControl, a new solution that enables real-time control over AI agents in production environments. This expansion of their platform allows software teams to manage age...nt behavior without redeploying applications, addressing challenges like model drift and unpredictable outputs. AgentControl provides instantaneous runtime intervention, ensuring reliable agent operations with features like progressive exposure and trace-level visibility.
LaunchDarkly's AgentControl Enhances Real-Time AI Agent Management
LaunchDarkly has introduced AgentControl, a tool that enhances real-time management of AI agents in production environments. This solution allows teams to modify agent behavior during runtime without... redeployment, addressing a critical need for dynamic control in AI infrastructure. AgentControl's integration capabilities enable swift adaptation to changing conditions, positioning LaunchDarkly as a leader in AI management solutions.
LaunchDarkly Unleashes Real-Time Control for AI Agents
LaunchDarkly introduces AgentControl, a tool for real-time AI agent management in production environments. This product addresses the unpredictability of AI models, providing developers with the abil...ity to oversee and adjust AI behavior live. This advancement is crucial as AI becomes integral to business operations, offering a competitive edge in managing AI-related issues proactively.
Introducing sequential testing for LaunchDarkly Experimentation
LaunchDarkly introduces sequential testing for its Experimentation platform, allowing users to adapt experiments dynamically. This method enables early result evaluation, reducing time and resources ...while maintaining statistical rigor. Users can now make quicker decisions without waiting for fixed endpoints, enhancing product iteration speed and efficiency.
Introducing stratified sampling for LaunchDarkly Experimentation
LaunchDarkly introduces stratified sampling for its experimentation platform to address covariate imbalance, ensuring fair and reliable experiment outcomes. This technique redistributes user attribut...es like company size and geography evenly across test groups, enhancing result accuracy. Users can implement this by uploading a CSV file with audience data, improving decision-making and reducing false reads.
A closer look at the 2026 Forrester Total Economic Impact of LaunchDarkly
LaunchDarkly commissioned Forrester Consulting to conduct a Total Economic Impact study, revealing a 379% ROI for users. The study highlights LaunchDarkly's role in improving software release control..., reducing deployment issues from 50% to 3%, and enhancing developer efficiency by 20%. These benefits stem from LaunchDarkly's feature management capabilities, enabling safer, faster, and more controlled software rollouts.
The GitHub repository "nvhoanganh/launchdarky-demo-with-react-spa" showcases a demo of LaunchDarkly's feature management capabilities using a .NET 8 React Single Page Application (SPA). It highlights... the implementation of feature flags, instant updates, and remediation techniques. The demo provides practical examples of toggling features on and off, targeting specific user roles, and integrating with New Relic for feature flag management.
LaunchDarkly warns of surge in risky software releases ahead of Black Friday - Home of Direct Commerce
LaunchDarkly warns that the pressure of Black Friday is leading software teams to release risky code, threatening online sales and customer loyalty. Their research shows 40% of teams deploy untested ...code, risking downtime and revenue loss. LaunchDarkly advises using feature flags and automation to manage risks and maintain system resilience.
LaunchDarkly Accelerates Journey to Self-Healing Software with Feature-Level Observability That Reduces Developer Friction and Accelerates Triage
LaunchDarkly has introduced new AI capabilities and integrations to enhance feature-level observability, aiding developers in faster, more reliable software deployment. These updates include session ...replay, error monitoring, and APM data integration, which reduce mean time to repair and improve software quality. The upcoming Vega AI agent will further streamline debugging by analyzing logs and metrics to identify root causes and suggest code changes.
LaunchDarkly for GitHub Copilot is now available on the GitHub Marketplace. This extension allows developers to query LaunchDarkly documentation directly through Copilot, facilitating efficient featu...re management. It requires a GitHub Copilot license and offers a free plan. The tool is designed to help developers quickly resolve development challenges by providing answers from LaunchDarkly's best practices and documentation.
Introducing agents, trends, and approvals for AI Configs
LaunchDarkly has introduced three new updates to its AI Configs: agent-based workflows, a Trends Explorer for AI insights, and built-in approval requests. These features enhance control and visibilit...y over AI-powered product deployments, allowing teams to define agent behaviors, analyze AI usage trends, and ensure safe changes through collaborative approvals. The updates aim to streamline AI feature management and improve operational efficiency.
Less clutter, more insight: Slice metrics from one event
LaunchDarkly has introduced filters for Custom Metric Events, allowing users to define multiple metrics from a single event key by filtering specific metadata. This feature simplifies event instrumen...tation, enabling more granular insights without creating multiple events. It supports experiments and Guarded Releases, offering flexibility in metric creation and reducing overhead.
Strategic Partnerships and Integrations of LaunchDarkly
Delivering adaptive AI with LaunchDarkly and Snowflake Cortex
LaunchDarkly and Snowflake Cortex have partnered to enhance AI delivery by enabling real-time configuration and runtime safety. This integration allows AI behavior, including prompts and model routin...g, to be managed outside the codebase, facilitating quick updates and personalized user experiences. The collaboration ensures AI logic is decoupled from deployments, offering adaptability and control in production environments.
