Coding & EngineeringBusiness Operations
Brian Scanlan, Intercom
AI engineer and R&D leader at Intercom
Built internal Claude Code workflows that improved Intercom’s engineering process: PR-description quality hooks, AI telemetry dashboards, self-improving flaky-test agents, and agent-friendly installation paths for product integration.
Outcome: Shows how AI coding becomes more valuable when a team builds supporting systems around it: better PR metadata, better visibility into agent behavior, automated follow-up on flaky tests, and product setup flows designed for coding agents as well as humans.
Claude CodeHoneycombGitHubAWS S3
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