AI case study

SentryAutomated debugging

Context overload slowed debugging. Seer now automates the hunt with 95% accuracy, creating merge-ready fixes nearly half the time.

Published|11 months ago

Key results

Root Cause Accuracy
95%
Auto-Fix Success Rate
~50%

Result highlights

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The story

Context

A software monitoring platform ingesting billions of errors daily provides deep visibility by linking stack traces, profiling data, and trace connections.

Challenge

The sheer volume of contextual data made it difficult for developers to pinpoint bugs quickly, especially for newer team members unfamiliar with the...

Solution
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Quotes

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The company

Sentry logo

Sentry

sentry.io

Application performance monitoring and error tracking platform for developers.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees251-1K
Founded2011

The AI provider

Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.

IndustrySoftware & Platforms
Location2 Pennsylvania Plaza, 10121, York, New York, United States
Employees1K-5K
Founded2021

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