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Instacart's Blueberry demonstrates the practical application of agentic AI in accelerating SRE workflows by grounding large language models in proprietary operational data and historical incident logs. By deploying parallel subagents to generate high-confidence root cause hypotheses within existing collaboration tools, the system significantly reduces mean time to diagnosis without automating production changes. This case study highlights how specialized AI agents can augment human engineers rather than replace them during critical infrastructure incidents.
Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents

Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combines AI agents, operational data, and historical incident knowledge to generate grounded root cause hypotheses in Slack. It uses parallel subagents, MCP integrations, and incident history to reduce investigation time while keeping engineers in control. By Leela Kumili
Instacart has introduced Blueberry, an AI-assisted incident response system designed to help on-call engineers investigate and troubleshoot production issues faster. The system uses multiple AI agents, operational data, and historical incident knowledge to provide engineers with additional context and root cause hypotheses during production incidents. The system was built to…
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