---
title: "Faire doubles PR throughput with Cursor Cloud Agents"
description: "Faire reports doubling weekly PR throughput after adopting Cursor Cloud Agents, replacing its in-house Samurai background-agent system and putting an 18-month MobX-to-native-React-state migration under one engineer’s coordination. Cloud agents run in isolated development environments with the dependencies, internal services, credentials, and tooling needed to write, test, verify, and ship changes; Faire configures these through agent-led repository onboarding or Dockerfiles. The team also uses more than 25 Cursor Automations for over 2,000 autonomous weekly runs, including Slack bug triage, CI-failure fixes, and PR routing. For the migration, Faire’s Swarm scraper records MobX usages in S3 and dispatches tasks sequentially to isolated virtual machines, while another cloud-agent effort created five stacked preview-build PRs in under a day. Faire says engineering output is approaching two to three times its previous level and is now examining bottlenecks elsewhere in product development."
---

# Faire doubles PR throughput with Cursor Cloud Agents

[Cursor](https://yomu.fyi/company/cursor) · Cursor · May 26, 2026

**Type:** Problem & solution

## Summary

Faire reports doubling weekly PR throughput after adopting Cursor Cloud Agents, replacing its in-house Samurai background-agent system and putting an 18-month MobX-to-native-React-state migration under one engineer’s coordination. Cloud agents run in isolated development environments with the dependencies, internal services, credentials, and tooling needed to write, test, verify, and ship changes; Faire configures these through agent-led repository onboarding or Dockerfiles. The team also uses more than 25 Cursor Automations for over 2,000 autonomous weekly runs, including Slack bug triage, CI-failure fixes, and PR routing. For the migration, Faire’s Swarm scraper records MobX usages in S3 and dispatches tasks sequentially to isolated virtual machines, while another cloud-agent effort created five stacked preview-build PRs in under a day. Faire says engineering output is approaching two to three times its previous level and is now examining bottlenecks elsewhere in product development.

## Context

Faire found that parallelizing agents on local machines was constrained by shared resources and difficult to manage. Its development environment also spans separate frontend and backend repositories, internal package dependencies, Gradle and Bazel, and separate AWS credentials, making autonomous agents difficult to configure reliably.

## Approach / What changed

Faire adopted Cursor Cloud Agents with isolated development environments, agent-led repository onboarding, and Dockerfile-based configuration. It uses Cursor Automations for recurring engineering workflows, Slack handoffs for contextual tasks, and a custom Swarm coordinator that distributes migration work to cloud agents running in isolated virtual machines.

## Takeaways

- Cursor’s development environments let agents pull dependencies, access internal services, run code, and verify changes instead of stopping after code generation.
- Faire runs more than 25 Cursor Automations, producing over 2,000 autonomous agent runs per week for Slack bug triage, CI failure repair, and PR routing.
- Faire’s Swarm system scrapes MobX usages into S3, assigns them to isolated cloud agents, and starts the next task after each agent merges its PR.

**Tags:** [AI Agents](https://yomu.fyi/topic/ai-agents), [Cursor](https://yomu.fyi/topic/cursor), [React](https://yomu.fyi/topic/react)

- Source: [Cursor](https://cursor.com/blog/faire)
- Source URL: https://cursor.com/blog/faire
- Ingested by Yomu: 2026-09-02T11:43:24.708Z

[Read original post](https://cursor.com/blog/faire)