Hands-on with Automated Releases
Join us for a hands-on workshop where you'll take a new feature from pull request to production with LaunchDarkly Release Autopilot, steering the flag and the release entirely from the PR.
About this workshop
What happens after agents write the code?
Join us for a hands-on workshop where you'll take a new feature from pull request to production with LaunchDarkly Release Autopilot, steering the flag and the release entirely from the PR.
Here’s what you'll learn how to do:
- Set release guardrails. Create a release policy that defines how LaunchDarkly should deploy your changes.
- Get a release plan from a PR. See how Release Autopilot analyzes a change, decides whether it needs a feature flag, and proposes that plan.
- Steer plans without leaving GitHub. Refine, reject, or approve recommendations, or approve just the flag now and the release later, all with PR comments.
- Ship a feature with a progressive rollout. Approve a full plan, merge, and watch Release Autopilot create the flag and roll the feature out over time.
- Track the release in LaunchDarkly. Review flag evaluations and release progress as traffic flows through.
We'll close with a quick tour of where you can go next, including reverting a plan and giving Release Autopilot feedback.
Prereqs: Just bring your computer. We’ll provision accounts at check-in.
Speakers
What teams do in production with agents.
From release control to self-healing systems, these are the problems teams solve using runtime control—right from their existing tools.
Ship AI-built code with confidence.
Progressively release changes and roll back instantly based on real-time impact.
Control and govern AI agents in production.
Monitor agent behavior, detect drift, and take action without redeploying.
Experiment continuously.
Experiment with code and agents in production and optimize based on real-world results.
Optimize AI performance and cost.
Test prompts and models in production and dynamically route traffic to the best option.
Enable self-healing systems.
Automatically prevent issues, understand change behavior, and fix issues instantly with suggested changes and PRs.
