Research

September 22, 2026

Root cause accuracy with Claude Code

We reran the RCA benchmark with Claude Code on Fable 5.1. It improved in every tool setup, and Foam MCP took it from 63.6% to 86.4%.

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Foam MCP
86.4%
Incidents
22
June 18, 2026

Clustering and noise reduction

How Drain3 streaming template mining compares to Sentry fingerprinting across 11 production environments.

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Median reduction
10.9×
Fewer issues
95.5%
May 27, 2026

Structural gaps in error monitoring

Evidence, causes, and a path forward for grouping, prioritization, configuration decay, alert noise, and AI-generated fixes.

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Teams interviewed
100+
Gaps
5
April 4, 2026

Bug fixing accuracy from observability data

A benchmark for the question every debugging agent should answer: what caused the production failure? Evaluated on root cause analysis from telemetry, not log summarization.

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Foam agent
81.8%
Incidents
22