Research
Findings we make public
June 18, 2026 · Study
Clustering and noise reduction
How Drain3 streaming template mining compares to Sentry fingerprinting across 11 production environments.
Study · Error Clustering
10.9×
median issue reduction
95.5%
fewer issues to triage
Across 11 production environments
May 27, 2026 · Study
Structural gaps in error monitoring: evidence from production systems
Evidence, causes, and a path forward for grouping, prioritization, configuration decay, alert noise, and AI-generated fixes.
Study · Error Monitoring
01Clustering & duplicates
02Error prioritization
03Configuration decay
04Alert noise
05AI-generated fixes
May 11, 2026 · Study
Marginal tool utility in agentic debugging
Marginal tool utility and tool efficiency measure whether individual tool calls improve an agent’s probability of solving the task. Removing noisy tools preserved accuracy while doubling efficiency.
Finding · Tool Efficiency
April 4, 2026 · Study
Root cause 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.
Benchmark · Root Cause Accuracy
