@rohanpaul_ai: Code is automated, debugging still stayed mostly manual. @sazabi is trying to close that gap with an AI observability s…
Summary
SaZabi is building an AI observability system that uses logs as the source of truth to automate debugging and issue resolution, aiming to bridge the gap between automated code and manual debugging.
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Cached at: 06/26/26, 10:16 PM
Code is automated, debugging still stayed mostly manual.
@sazabi is trying to close that gap with an AI observability system that detects issues, investigates failures, and helps prepare fixes.
logs are all you need:
Its bet is that logs can become the source of truth, with AI deriving metrics, traces, and possible fixes from the raw events teams already collect.
Sherwood (@shcallaway): We raised $8m to build self-healing software.
In 2026, software moves fast.
But monitoring and observability are still manual and slow.
@sazabi is a next-generation observability platform for fast-moving engineering teams.
Not another AI SRE.
Not another LLM observability
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