RunLLM
AI that doesn’t just respond—it resolves
RunLLM launched on July 29, 2025 with 293 votes, #101 of 9,224 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
RunLLM is an AI support tool built on UC Berkeley research that analyzes logs, code, and documentation to automatically resolve technical issues. Designed for engineering teams, it reduces mean time to resolve by 50%, cuts engineering time by 30%, and can deflect up to 99% of support tickets. The platform is used by companies like Databricks, Sourcegraph, and Corelight.
written from the facts on this page · September 2026
From the sources
Built on 10 years of UC Berkeley research, RunLLM reads logs, code and docs to resolve complex support issues. Saves 30%+ eng time, cuts MTTR by 50%, deflects up to 99% of tickets. Trusted by Databricks, Sourcegraph and Corelight—try for free on your product.
Herald detects potential issues, investigates them across code, infrastructure, and telemetry, and hands you the root cause.
Book a Demo Try for Free Product Pricing About Platform Docs Try for Free Book a Demo AI SRE The AI SRE that catches issues before you get paged Herald detects potential issues, investigates them across code, infrastructure, and telemetry, and hands you the root cause — all before an alert fires or a customer complains. auth.test API call timing out during authorization, causing intermittent 500s on the ingestion hot path. Real predictive detection on Herald production; sensitive details redacted. See more The metric stays below the alert threshold for most of the chart, then crosses it. Marker 1 identifies the threshold crossing. The area above the threshold after that crossing is labeled…from herald.dev
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