What it means to be a truly AI-native software company

Everyone says they’re rebuilding their company in an AI-native way. But what does that mean? Most companies look at what their existing employees do and try to automate it with AI. That’s not it. That’s dabbling. A truly AI-native company rethinks every role and tears down the walls between them. None of us can 8-ball this but here’s my sketch. It’s not exhaustive but hopefully it sparks something: Role changes # Quality Assurance ## The QA team typically finds bugs and dutifully files them in Jira. Engineering has finite capacity, so they fix the P1s and freeze the rest. P2 and P3 bugs die in the backlog — the UX nits, the copy, the small fixes. An AI-native QA team files the bug and immediately points an agent at it. The agent takes a first pass, finds a root cause, proposes a fix, and opens a PR — then sends a test build right back to QA to verify. Along the way the bug is updated in detail, so if it needs escalation to the engineer who built it, all the context is right there. A…