Alternatives
Products that do what Cova does
Your monitoring has blind spots. We find them. We fix them.
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Trace, evaluate, and improve AI agents in production
Aug 2026 · telerik.com
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I'm an infrastructure architect who started using AI assistants to write code 3 months ago. After building several systems with Claude, I noticed a pattern: the code always had security issues I could spot from my ops background, but I couldn't fix them myself since I can't actually write code. Why I built this: I needed a way to verify AI-generated code was production-safe. Existing tools either required cloud uploads (privacy concern) or produced output too large for AI context windows. TheAuditor solves both problems - it runs completely offline and chunks findings into 65KB segments that…
Sep 2025 · github.com
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Hi HN, I'm Kaushik, and I built Rocketgraph. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code. But now the code is written and debugged by AI, so we need to rethink how we do observability where the observer itself is an AI. The problem that I run into is when an alert fires, I have to manually check the Grafana dashboards and write LogQL queries, which is pretty much like greping. But production usually breaks due to a schema mismatch, or a…
Jun 2026 · github.com
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Hey HN, We launched Coroot a while ago as an open source observability tool that collects complete telemetry using eBPF. Today we are adding a major new capability: Coroot enterprise now includes AI-powered Root Cause Analysis. When an incident happens (like an SLO violation), Coroot: - Automatically kicks off an RCA - Summarizes what went wrong in plain English - Suggests immediate fixes - Shows the full investigation using metrics, logs, traces, and profiles With most tools, the quality of root cause analysis depends on how well the system is instrumented. Coroot takes a different…
2025 · coroot.ai
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