Innovation velocity for every stage of software delivery
Every team wants to rapidly generate and implement new ideas, products, and processes. Innovation velocity is an important way for companies to compete and stay ahead of the market.
So we’re all out here asking our teams to move faster, but with speed comes risk. And even if you deliver innovation quickly, it doesn't necessarily mean you're delivering value.
All of this is easier said than done, which is why I’m so excited about what we’ve been building.
With our latest LaunchDarkly product release, you can have it all: faster innovation velocity, lower risk, and measured impact for every feature you release.
Read on to learn about LaunchDarkly's major UI update, support of AI development, automatic remediation features, and more.
Developer-friendly workflows
For a decade, LaunchDarkly has been empowering teams to move fast while minimizing risk, with developers at the heart of everything we do. We also understand the importance of providing developers with best-in-class experiences so that they can focus on innovating instead of struggling with tooling. That’s why we are excited to share some of the latest improvements that further enable software development teams to do what they love: build great products.
A new user experience in LaunchDarkly
Great developer tools should simplify common tasks and reduce friction. To that end, we've gathered valuable feedback from hundreds of customers to guide us in crafting a major update to the LaunchDarkly platform experience. These enhancements include:
- A new, intuitive navigation: Access the resources you need more quickly with clear categories in the navigation, an updated project switcher, and a separate "organization settings" area.
- Multi-environment views: Select and reorder preferred environments to match release paths. Save environments as Favorites for easy access to keys and settings without having to switch views.
- Dashboard shortcuts: Save any filtered view as a shortcut and access it later from the main navigation.
- Contextual change history: Track changes for all resources, including previously unsupported ones like Experiments, with the option to view the overall project change history directly from the project settings page or any change history view.
Want to learn more? → Check out our in-depth blog post
New LaunchDarkly CLI
Streamline your workflow and eliminate the need for context switching between development environments, documentation, and GUI with the new LaunchDarkly Command Line Interface (CLI).
Using the CLI tool, you can go from zero to running a sample application with LaunchDarkly feature flags in less than five minutes.
Want to learn more → Check out our in-depth blog post
LaunchDarkly Extension for GitHub Copilot on Visual Studio Marketplace
As part of our commitment to enhancing developer workflows, we're excited to announce a LaunchDarkly extension for GitHub Copilot. This extension allows users of LaunchDarkly VS Code Extension and GitHub VS Code Extension to automate repetitive tasks in flag lifecycle management with AI. Using this integration, you can interact with GitHub Copilot to do things like:
- Flag creation: Use existing LaunchDarkly VS Code extension commands in conjunction with GitHub Copilot to create a boolean flag.
- Flag summarization: Ask Copilot to generate a user-friendly summary of the important details for any flag.
- Flag cleanup status: Have Copilot run a status check to ensure it’s safe to archive a flag.
Want to learn more → Check out our in-depth blog post
Build your next AI application with LaunchDarkly
AI has become a top priority for development teams. But AI development comes with a host of challenges: process failures, model conflicts, a lack of performance measurement, etc.
Fortunately, with LaunchDarkly, teams gain runtime control over configurations, iterate with live user feedback, and seamlessly integrate generative AI flag templates to ensure confident, measurable, and impactful AI releases—all within a single unified workflow.
- Generative AI flag templates: Seamlessly set new model configurations and AI prompts as feature flags.
- Variation Generator: Add additional prompts and variations using our integration with AWS Bedrock.
- AI-Powered Experiment Builder: Guided support for configuring all aspects of an experiment including metrics, feature flags, and variations.
Want to learn more → Check out LaunchDarkly for AI
Release faster and safer
LaunchDarkly Release Assistant empowers engineering leaders to codify their team’s best practices and apply them to every release. We’re excited to introduce automation and user experience improvements to make it even easier to standardize releases:
- Easily create and manage release pipelines: Create and manage release pipelines right from the LaunchDarkly navigation with a new ‘Release’ section.
- Define audiences for each release phase: Specify an audience for each step in a release pipeline, ensuring flags only roll out to intended users (e.g., internal testers only).
- Control approvals and requirements: Leverage approvals to enforce rollout perquisites.
- Automate rollouts and monitor the impact: Enable immediate release automation and integrate Release Guardian into any release pipeline phase to monitor audience and environment impact during rollout.
Want to learn more → Check out our in-depth blog post
Catch software bugs before they become outages
Releasing software involves a delicate balance between speed and risk mitigation. Teams often must choose between speed and safety. With LaunchDarkly's Release Guardian, you no longer have to make this trade-off. Release Guardian enables you to monitor the impact of your releases in real-time, ensuring swift issue detection and mitigation.
- Integrate the metrics that matter: Embed monitoring into each release by ingesting telemetry and monitoring data from existing tools, such as Sentry, Segment, OpenTelemetry, and LaunchDarkly server-side SDKs to control deployments.
- Proactively monitor and mitigate risk in every release: Automatically correlate issues with the problematic change, reducing engineering toil and time to resolution.
- Deliver better software with confidence: Leverage release-level insights to understand how software changes impact the user experience.
Want to learn more → Check out our in-depth blog post
Embed powerful experiments into every release
What good is it to ship features continuously if they fail to have the intended business impact? That’s why LaunchDarkly combines feature management and experimentation into a unified solution and empowers teams to integrate experimentation right into their release process. With LaunchDarkly’s advanced experimentation capabilities, engineering, product, and data science teams can effectively measure and improve the business impact of every release.
- Measure the impact of every feature: Easily create key metrics to track what matters most to your business with even more configuration options, and verify they’re properly implemented so your team can trust they'll have the data they need for experiments.
- Conduct statistically rigorous (and flexible) experiments: Run sophisticated experiments and easily design the type of experiments you need with built-in experiment methodologies such as holdouts*, CUPED*, and mutually exclusive experiments.*
- Deliver winning experiences to customers faster: Confidently deliver winning experiences by enhancing visibility into experimentation results against key business objectives.
Want to learn more? → Check out our in-depth blog post
*features coming soon
Ship what's next
We hope our latest release accelerates your team in building your next great product—delivering software faster and safer while measuring the business impact of every release.
Ready to explore LaunchDarkly or see our newest product updates up close? Schedule a demo today.
