Intercom scales multi-agent engineering workflows with Augment Code
Intercom ships fast. It’s the leading AI customer service company that delivers Fin, the best performing AI Agent for customer service, and a next-generation helpdesk for human support. Their infrastructure and product teams manage large Ruby and JavaScript codebases, distributed systems, and a constant stream of high-impact changes. But as senior engineers explored agent-driven development, they found existing tools struggled with context, consistency, and reliability. After trying Cursor and multiple LLM coding tools, Intercom adopted Augment Code to enable parallel agent workflows, accelerate large feature builds, and give engineers a trusted way to offload the repetitive details of coding—without sacrificing quality.
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