DevCycle

Development

Neotask automates your DevCycle feature management workflow -- OpenClaw creates flags, manages variables, tracks evaluations, and handles SDK setup so your team ships features safely.

What You Can Do

Feature flags let you ship code without shipping risk. Neotask handles the operational overhead of DevCycle so your developers stay focused on building.

Flag Lifecycle Management

Create features, define variables, set targeting rules, and update flag status through conversation. Your agent manages the full lifecycle -- from initial creation through gradual rollout to cleanup.

Evaluation Analytics

Track how often each feature flag is evaluated and which variants are served. Monitor adoption at the feature level and project level to understand which features your users are actually hitting.

Self-Targeting for Testing

Set up self-targeting identities so developers can test specific flag configurations locally without affecting other users. Your agent manages these overrides so testing is fast and isolated.

SDK Integration

Need to add DevCycle to a new service? Your agent handles SDK installation and generates the initialization code for your framework.

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

Try Asking

  • "Create a new feature called 'redesigned-onboarding' with a boolean variable defaulting to false"
  • "What are the total evaluations for the 'premium-features' flag this week?"
  • "Enable the 'new-pricing-page' feature for users in the 'beta-testers' segment"
  • "Show me the audit log for recent changes to the 'checkout-flow' feature"
  • "Set up my self-targeting identity so I see the new dashboard variant locally"
  • "Install the DevCycle SDK in our Node.js backend service"
  • "Which features haven't been evaluated in 30 days? Flag them as cleanup candidates"
  • "Update the 'dark-mode' feature status from development to released"

    • Pro Tips

  • Track evaluations before cleaning up flags -- a flag with zero evaluations for 30 days is safe to remove; one with low evaluations might still be in a critical path.
  • Use self-targeting during QA to test every variant without deploying flag changes that affect real users.
  • Schedule monthly flag audits as automations to catch stale flags before technical debt accumulates.
  • Enable approval gates for production flag changes to prevent unreviewed rollouts.
  • Combine evaluation data with your analytics platform to correlate feature flags with user behavior metrics.
  • Use the audit log to verify who changed what before investigating flag-related incidents.

    • Works Well With