Leaderboard Deploy agents

Establish clear guidelines for feature flag creation, default values, and removal strategy based on risk assessment and user impact.

When to use feature flags:

• Use feature flags for experimental features that need gradual rollout or have unknown risks
• Avoid feature flags for simple internal refactoring that users won’t directly interact with
• Consider if the feature needs per-node opt-in/opt-out capabilities for risky changes

Default value strategy:

• Off by default: For new user-facing features that users will want to opt into, but carry some risk
• On by default: For internal improvements or optimizations where you need an escape hatch if something goes wrong
• No flag needed: For low-risk internal changes that don’t affect user-visible behavior

Lifecycle management:

• Plan the removal timeline when creating the flag (e.g., “change default to true in v1.27 and remove in v1.28”)
• For experimental features, start off by default, then enable by default after validation
• Remove flags promptly after the deprecation period to avoid accumulating technical debt

Example pattern:

// Good: Clear intent and lifecycle plan
NativeMetadataExchange = env.Register("NATIVE_METADATA_EXCHANGE", true,
    "Enable native metadata exchange filter. Default true for escape hatch during rollout.").Get()

// Avoid: Unclear necessity  
SomeInternalRefactor = env.Register("ENABLE_INTERNAL_REFACTOR", false,
    "Enable internal refactoring that users don't interact with").Get()

This approach ensures feature flags serve their intended purpose without becoming permanent configuration bloat.