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Miro uses Amazon Bedrock and Claude Sonnet to automate bug routing

Miro has developed an AI-powered system called BugManager, utilizing Amazon Bedrock and Anthropic's Claude Sonnet, to automate the routing of software bugs. This new system significantly improves accuracy, reducing bug reassignments by six times and decreasing resolution time by five times. BugManager employs Retrieval Augmented Generation (RAG) to incorporate context from various knowledge bases, overcoming the limitations of traditional NLP models in dynamic organizational structures. AI

影响 Automates bug routing, reducing developer reassignments and improving resolution times, which could be adopted by other software development organizations.

排序理由 The article describes a company using an existing AI service (Amazon Bedrock) to build a new internal tool, rather than a novel model release or foundational research.

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Miro uses Amazon Bedrock and Claude Sonnet to automate bug routing

报道来源 [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Philipp Pavlov, Dmytro Romantsov, Evgeny Mironenko, Gowri Suryanarayana ·

    How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

    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.