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23 posts tagged #observability
Browse 23 posts tagged Observability, including practical setup notes, reviews, comparisons, and workflow patterns for engineers working with AI tools.
Sonarly connects to Sentry, Datadog, and Slack to triage alerts, identify root causes, and trigger AI fixes — cutting a 180-alert daily firehose down to 5 actionable issues.
OpenTrace connects Claude Code and Cursor directly to your production observability data via MCP. Self-hosted, no Elasticsearch, runs on a $4/month VPS.
A lightweight observability tool that wraps your existing LLM calls and surfaces traces, token costs, latency, and errors in a single dashboard.
Sentrial catches AI agent failures, drift, and anomalies in production — giving developers observability into agentic workflows before users report the problem.
Open-source observability for MCP servers. TypeScript and Python SDKs plus a CLI, with real-time tracing, per-tool latency breakdown, and alerting.
Steadwing is an autonomous on-call engineer that diagnoses root cause in under 5 minutes and delivers actionable RCA reports with real remediation steps.
Open-source AI agent monitoring platform. Full observability into what is failing in production, issue detection, semantic search, and eval alignment tracking.
Open-source MCP server that scores AI agent output quality, catches safety failures like PII leaks, and enforces cost budgets across traces.
OpenTrace is a self-hosted observability server that connects AI coding agents directly to production logs and errors via MCP — no dashboards, no copy-paste.
Sentrial is a YC W26 observability platform that detects silent regressions across AI agent sessions, tool calls, and LLM interactions before end users notice.
YC-backed endpoint security for AI coding agents. Monitors Cursor and Claude Code at OS level with eBPF and ESF. Tracks file access, network, and processes independently.
Open-source observability platform using eBPF for zero-instrumentation monitoring. AI-powered RCA, distributed tracing, and SLO alerting with 80% faster MTTR.
Wild Moose is an AI-first responder that codifies your team's debugging practices into autonomous agents, cutting MTTR by 80% with evidence-backed root cause analysis.
Sentrial monitors your AI agents in production and catches failures, errors, and unexpected behaviors before they reach your users. Built for LLM-based systems.
Superlog is a YC P26 MCP-native observability agent that auto-instruments your repo with OpenTelemetry and opens tested PRs to fix incidents in Slack.
Wild Moose is an AI SRE agent that investigates production alerts, correlates logs, metrics, and traces, and surfaces root causes in under a minute.
Sonarly (YC W26) deduplicates noisy Sentry and Datadog alerts, runs root-cause analysis, and ships fix pull requests through Claude Code instead of paging on-call.
Future AGI is a self-hostable platform for evaluating, observing, and improving LLM apps. Includes tracing, evals, simulation, datasets, an AI gateway, and.
HyperDX is an open source observability platform that unifies session replays, logs, traces, metrics, and errors in one place — at a fraction of the cost of.
Trace, debug, and evaluate AI agents in production with Lucidic's observability platform — one-line init, graph visualizations, and time-travel debugging.
Sentrial monitors AI agents in production, detecting loops, hallucinations, and tool misuse the moment they happen. Here's how it works and how to set it up.
Voker is an agent analytics platform that gives engineering teams structured visibility into how their AI agents behave, perform, and cost — without digging.
YC W26-backed AI agent observability platform. Trace sessions, detect silent regressions, and A/B test prompts in production before failures reach users.