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Miro uses Amazon Bedrock and Claude Sonnet to automate bug routing

By PulseAugur Editorial · [1 sources] ·

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

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

RANK_REASON 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.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Miro uses Amazon Bedrock and Claude Sonnet to automate bug routing

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
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.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
150 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [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.

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