ConfigCat

Development

Neotask automates your feature flag lifecycle through ConfigCat -- OpenClaw creates flags, manages rollouts, audits changes, and cleans up zombie flags so your releases run smoother.

What You Can Do

Feature flags are critical to safe releases, but managing them manually becomes a bottleneck as your team grows. Neotask handles the entire flag lifecycle.

Automated Rollouts

Create a feature flag, set targeting rules for specific segments, and gradually roll it out from 10% to 100% -- all through conversation. Your agent handles the ConfigCat API so your developers stay in their IDE.

Zombie Flag Detection

Old feature flags that nobody removes clutter your codebase and slow down builds. Neotask identifies zombie flags with no recent evaluations and recommends cleanup. Schedule this as a monthly automation to keep your flag inventory healthy.

Environment Management

Manage flag states across development, staging, and production environments. Toggle flags per environment, compare configurations, and promote settings from staging to production in one request.

Audit and Compliance

Every flag change is tracked. Ask for the audit log of any flag to see who changed what and when -- essential for compliance reviews and incident investigations.

Every action runs autonomously or requires your approval -- you decide.

Try Asking

  • "Create a feature flag called 'new-checkout-flow' with a gradual rollout starting at 10% in production"
  • "Which feature flags haven't been evaluated in the last 30 days? Those might be zombies"
  • "Show me the audit log for the 'premium-features' flag -- who changed it last?"
  • "Enable the 'beta-dashboard' flag for the 'internal-testers' segment in staging"
  • "Compare the flag configuration between staging and production environments"
  • "List all feature flags with their current state across all environments"
  • "Set up a webhook to notify our Slack channel when any flag is toggled in production"

    • Pro Tips

  • Schedule monthly zombie flag audits as an automation -- technical debt from abandoned flags compounds silently.
  • Use approval gates for production flag changes so no toggle goes live without a second pair of eyes.
  • Segment-based targeting is more maintainable than individual user targeting -- define segments once and reuse them across flags.
  • Pair flag evaluations data with your analytics to measure the impact of each feature variant.
  • Webhook integrations can trigger cache clears or deployments when specific flags change.
  • Code references show where each flag is used in your codebase -- review them before deleting any flag.

    • Works Well With