AI-NATIVEFEATURE FLAGS
Extending open-source feature flags into a release control layer for AI-native software delivery
Explore FeatBit SkillsFeatBit starts with the fundamentals teams already need today: open-source feature flags, production-safe rollout control, and significantly lower cost. As software delivery becomes more AI-assisted, that same runtime control layer expands into AI release governance for evaluation, experimentation, staged rollout, and rollback.
1. Start with Proven Feature Flag Infrastructure
Use FeatBit as a production-ready, fully open-source feature flag platform with transparent deployment, strong control boundaries, and self-hosted flexibility.
2. Connect AI Workflows with Skills, CLI, MCP, and APIs
Give coding agents and AI-assisted workflows a reliable interface into FeatBit through detailed skills, CLI-first operations, MCP connectivity, and direct API access.
3. Govern AI Releases Without Losing Operational Safety
Keep human-written and AI-generated changes under the same release discipline with controlled rollout, fast rollback, environment isolation, and runtime policy enforcement.
Explore Core Topics
AI Release Engineering
The operating model for staged rollout, evaluation, and rollback in AI-driven delivery.
AI Control Layer
Why runtime flags become the safety gateway for intelligent systems in production.
Safe AI Deployment
How teams contain blast radius when AI-generated code and AI behavior reach production.