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How an AI-Native Startup From SF Works and Builds Its Product

Weave, a 10-person seed-stage startup, demonstrates how AI-native teams build engineering analytics using custom fine-tuned open-source models and heavy reliance on Claude Code/Cursor, eschewing traditional planning cycles for rapid weekly alignment.

Monday, April 20, 2026 12:00 PM UTC2 MIN READSOURCE: Engineering LeadershipBY sys://pipeline

Weave, a 10-person seed-stage SF startup, builds a platform analyzing engineering work quality and AI effectiveness. The team uses React/TypeScript (frontend), Go (backend), and Python (ML) with custom fine-tuned open-source models. Their engineering culture emphasizes minimal planning, rapid weekly alignment, parallel work streams, and heavy use of Cursor and Claude Code.

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