
🧵 Building in public: AI-native experimentation
1/ The $10B+ product experimentation market exists because running experiments right requires senior PMs + data scientists at every step. That's the bottleneck.
2/ AI made code shipping 10x faster. But if your experiment loop can't keep up, the speed is fake — you're just shipping gut feelings faster.
3/ What we're building: AI agents that run the full loop autonomously. Intent → hypothesis → gradual rollout → measurement → decision. Human in the loop when it matters, autonomous when it doesn't.
4/ It's open source, works with Claude Code / GitHub Copilot / Codex.
Still early (dogfood stage). Want to find people thinking about the same thing.
👉 github.com/featbit/featbi…
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