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DoorDash built a two‑phase, multi‑agent LLM system (Claude Sonnet orchestrator + Claude Opus cleanup agents) that automatically removes stale feature flags from 623 repos. In a 50‑flag pilot it generated usable PRs for 45 flags at ~14 min and $4.79 each, with 100 % success on simple flags and no regressions.
Homegrown feature flag implementations work for small teams but quickly lack ownership, auditability, and stakeholder access as they scale. When flag count, team size, incidents, or compliance audits make these gaps costly, switch to a purpose‑built feature management platform.
Home‑grown feature flag systems look cheap until maintenance, governance, and scaling costs explode, especially as AI‑accelerated development creates more flags faster. Buying a managed solution offloads engineering effort, adds audit trails, and scales with multiple teams.
