Inside DoorDash, Stripe, Shopify: software factories running 130K agent tasks/month
Pavan_Belagatti · x · 2026-10-07
A curated catalog of how leading engineering orgs actually run AI agents across the SDLC:
- DoorDash: in-house Flux platform grew from code review to 130,000 automated tasks/month; its reviewer covers 10K+ PRs weekly across 56 repos and pushes fixes back to PRs
- Ramp: 4 engineers + a part-time PM built a background agent authoring 3 of 4 merged PRs, with human-level tool access
- Shopify: Slack-native agent co-authors 1 in 8 merged PRs; security harness demands proof-by-exploit; refuses to count AI-authored LOC
- Snap: three-agent pipeline (Casper/CodePal/Code Search); over half of agent investment goes to guardrails
- Stripe: one-shot end-to-end agents on a forked Goose, hard two-round CI cap, shared 500-tool internal MCP server
- Uber: six platform layers, agent registry tracing every action to a person, candid account of measurement mistakes
- Zalando: agentic engineering across 250+ teams since Jan 2024, no mandated tool, risk classifier auto-approves a third of PRs
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