back_office_ops · saas · workflow
Faire uses swarm-coding with multiple GitHub Copilot background agents to accelerate large-scale engineering workflows
Faire engineers spent countless hours on tedious but essential maintenance tasks like cleaning up expired feature flags and migrating test infrastructure, with no scalable way to parallelize or automate this work.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Issue assigned to Copilot
GitHub Copilot's background agent is triggered when a GitHub issue is assigned to it.
Tools used
GitHub CopilotMCP (Model Context Protocol) serversCursorMockoloNxYarnts-morphFairey
Outcome
Within just over a month, 18% of the engineering team adopted GitHub Copilot, over 500 Copilot pull requests were merged, Copilot users saw a 25% increase in PR volume, and the average reported time saved was 39.6 minutes per PR.
Results
Time saved39.6 minutes
Volume18%
Grounding & classification
Source type: technical build writeup
30 fields verified against source quotes, 2 dropped as unverifiable.
agentic workflowai agentcode generationmulti agent workflowcode diff prhuman review describedmetric backednamed customerproduction runtime claimedtools describedecommercesoftwareautomation rateemployee productivitythroughput increasetime savedtechnical build writeupback office opsquality assuranceagentic task execution