@0xKingsKuan: Auto-Fix Bugs, Observability Tool! How frustrating was managing production systems before? Logs, traces, metrics everywhere, critical errors drowned in noise. When something went wrong, you had to manually dig through logs, guess the call chain, spend ages troubleshooting without finding the root cause, let alone fixing it automatically. Now, superloglabs directly...
Summary
Superloglabs has open-sourced Superlog, an agentic observability platform based on OpenTelemetry that automatically clusters events, generates incidents, and helps fix bugs.
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Launch HN: Superlog (YC P26) – Observability that installs itself and fixes bugs
Superlog is a self-installing observability tool that automatically instruments code, groups errors, and uses AI agents to investigate and fix bugs, aiming to reduce alert fatigue and manual setup.
@QingQ77: Open-source self-hosted AI Security Operations Center providing alert fusion, purple team exercises, AI-assisted triage, and MITRE ATT&CK investigation analysis. https://github.com/beenuar/AiSOC AiSOC packages security event collection, correlation analysis, AI investigation, and SOC console into a self-hosted stack...
AiSOC is an open-source self-hosted AI Security Operations Center tool built on LangGraph. It integrates alert fusion, AI-assisted triage, and MITRE ATT&CK investigation analysis, supporting full-chain reasoning log playback and flexible deployment across multiple environments.
superlog
Superlog is a product that helps make your product bug-free.
@vintcessun: What troubles security teams most is too many false positives in the vulnerability discovery process and lack of closed-loop fix verification. Anthropic's reference implementation directly breaks the entire process into an auditable seven-stage pipeline. The core design is not about stacking features, but building a verification chain—each finding must go through independent sandbox reproduction, deduplication, scoring, and finally the patch must also pass regression testing...
Anthropic has released an open-source reference implementation for vulnerability discovery and remediation, building a verification chain with a seven-stage pipeline based on Claude, aimed at reducing false positives and ensuring closed-loop fix verification.
@jianshuo: Only when you can see it can you talk about understanding. I wrote ccglass; install it via npm and you can see what Claude Code is secretly sending to the large model—system prompts, 48 tools, token accounts—all laid out.
ccglass is a zero-dependency local logging reverse proxy and web dashboard that lets you see in real-time the system prompts, tools, and token usage sent by coding agents like Claude Code to the large model.