AI & I How to Build an Agent-native Product | Mike Krieger
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Mar 25, 2026 
Mike Krieger, Instagram co-founder and Anthropic Labs product leader, digs into what makes an agent-native product actually work. He talks about why AI speeds building but not taste. Why vibe coding leads to messy overbuilding. Why rewrites are now normal. They also explore tiny teams, product conviction, enterprise guardrails, and the rise of personal agents.
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What Agent Native Really Means In Practice
- Agent-native software treats every product primitive as something the model understands and can directly modify.
- Mike Krieger contrasted Claude Code with Claude AI telling users the steps to add project knowledge instead of doing it itself.
Agent Native Products Need New Testing Methods
- Agent-native apps need different testing because useful behavior is unpredictable by design.
- Mike Krieger watched Claude chat with itself inside an iOS work-journal prototype, a behavior no unit test would have specified.
Proof Of Work Now Means Proof Of Use
- In AI coding, proof of quality shifts from passing tests to showing the feature actually works and was thoughtfully reviewed.
- Mike Krieger now asks Claude to prove it exercised changes, because models make reasonable-looking choices nobody explicitly chose.
