launch
Supports public release planning, including go-to-market plans, beta launches, early access, waitlists, and Product Hunt launches. Also covers feature announcements and product updates.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports public release planning, including go-to-market plans, beta launches, early access, waitlists, and Product Hunt launches. Also covers feature announcements and product updates.
Reviews the stack, services, environment variables, payments, and deployment configuration. Creates docs/launch-checklist.md with step-by-step launch instructions, explains technical terms, and assigns steps to the user, coding agent, or both.
Provides a playbook for operating NeMo-RL recipes on Kubernetes through the nrl-k8s CLI. Covers ephemeral and long-lived RayCluster modes, run iteration, and debugging hung or failed training jobs.
Guides product launches, feature announcements, and release strategies, including beta launches, early access, and waitlists. Covers phased launches, channel strategy, and maintaining momentum after launch.
Handles application analysis, migration, and deployment for apps built with platforms such as Lovable, Bolt.new, and Replit. Supports frontend frameworks, static sites, SPAs, and frameworks with static export.
Creates experiments with metrics, treatments, and flag configuration. Covers starting data collection iterations, changing experiment design between iterations, and stopping with a winning treatment.
Removes flag references and hardcodes the winning variation after a rollout is complete. Supports creating a pull request for the cleanup while preserving production behavior.
Routes /flag requests to the appropriate LaunchDarkly lookup flow. Supports quick flag searches, direct detail summaries, and disambiguation between similarly named flags.
Explores existing codebase patterns before creating and configuring a feature flag. Supports wrapping code in flags, adding feature toggles, and setting up experiments.
Reviews LaunchDarkly feature flags to explain the inventory and identify stale or already launched flags. Assesses flag health and candidates for cleanup or removal.
Controls flag toggles, percentage rollouts, targeting rules, and individual targets. Copies flag configurations between environments to support configuration promotion.
Sets up guarded feature releases with progressive traffic increases. Uses monitored metrics and safety thresholds to support automatic rollback.
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