How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours
Not a pilot. Miro deployed AI-powered bug routing across its entire system—cutting resolution time from days to hours.
Why it matters
Real-world AI deployment in developer tools is moving from proof-of-concept to production scale. Miro's 6x reduction in team reassignments and 5x faster time-to-resolution demonstrates how foundation models (via Amazon Bedrock) are becoming infrastructure for internal ops, not just external features.
The key facts
10 to knowMiro uses Amazon Bedrock for bug routing automation
6x fewer team reassignments achieved
5x reduction in time-to-resolution (days to hours)
Architecture and techniques disclosed in case study
Focus on accuracy improvement in routing logic
6x reduction in team reassignments
5x improvement in time-to-resolution (days to hours)
Amazon Bedrock foundation model integration
Bug routing/triage automation use case
Architecture and implementation details published
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we dive deep into the architecture and techniques we used to improve Miro’s bug routing, achieving six times fewer team reassignments and five times shorter time-to-resolution powered by Amazon Bedrock.