A user says Sazabi connects to application logs and a code repository and lets you ask follow-up questions.
A user describes Sazabi as an app that connects to application logs and a code repository, then sends issue alerts with a likely cause and suggested fix. The user says you can ask follow-up questions and work with a coding agent on the final fix.
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@svpinoEvery developer dreams of an agent that proactively monitors and suggests a fix whenever something breaks. This is a pretty cool app: • Connect Sazabi to your application logs • Connect your repository as well • You'll get issue alerts with the likely cause and suggested fix • You can ask follow-up questions • You can work with your coding agent on the final fix
@ScobleizerAgents merging their own PRs. Hundreds of deploys a day. A codebase nobody fully understands anymore. So who notices when something breaks at 2am? @sazabi reads your logs, spots what's off, investigates it, and tells you what's actually wrong before your users find it. No dashboards to babysit. If AI is writing half your code, what's watching it in production?
@rohanpaul_aiLog search latency decides whether a coding agent can debug in a loop or stalls waiting on every query. @sazabi built its own log intake, storage and query system to run issue detection, and 1.0 opens that layer up: plain-English queries from the terminal, the web app, or directly from an agent. The company says it is the fastest log search on the planet. Your app keeps a running diary of everything it does, and Sazabi reads it nonstop. When something looks off, like payment errors suddenly spiking, its AI agent figures out what broke and why. You get 1 short alert with the cause and a suggested fix.@svpinoEvery developer dreams of an agent that proactively monitors and suggests a fix whenever something breaks. This is a pretty cool app: • Connect Sazabi to your application logs • Connect your repository as well • You'll get issue alerts with the likely cause and suggested fix • You can ask follow-up questions • You can work with your coding agent on the final fix@ScobleizerAgents merging their own PRs. Hundreds of deploys a day. A codebase nobody fully understands anymore. So who notices when something breaks at 2am? @sazabi reads your logs, spots what's off, investigates it, and tells you what's actually wrong before your users find it. No dashboards to babysit. If AI is writing half your code, what's watching it in production?@rohanpaul_aiLog search latency decides whether a coding agent can debug in a loop or stalls waiting on every query. @sazabi built its own log intake, storage and query system to run issue detection, and 1.0 opens that layer up: plain-English queries from the terminal, the web app, or directly from an agent. The company says it is the fastest log search on the planet. Your app keeps a running diary of everything it does, and Sazabi reads it nonstop. When something looks off, like payment errors suddenly spiking, its AI agent figures out what broke and why. You get 1 short alert with the cause and a suggested fix.@svpinoEvery developer dreams of an agent that proactively monitors and suggests a fix whenever something breaks. This is a pretty cool app: • Connect Sazabi to your application logs • Connect your repository as well • You'll get issue alerts with the likely cause and suggested fix • You can ask follow-up questions • You can work with your coding agent on the final fix@ScobleizerAgents merging their own PRs. Hundreds of deploys a day. A codebase nobody fully understands anymore. So who notices when something breaks at 2am? @sazabi reads your logs, spots what's off, investigates it, and tells you what's actually wrong before your users find it. No dashboards to babysit. If AI is writing half your code, what's watching it in production?@rohanpaul_aiLog search latency decides whether a coding agent can debug in a loop or stalls waiting on every query. @sazabi built its own log intake, storage and query system to run issue detection, and 1.0 opens that layer up: plain-English queries from the terminal, the web app, or directly from an agent. The company says it is the fastest log search on the planet. Your app keeps a running diary of everything it does, and Sazabi reads it nonstop. When something looks off, like payment errors suddenly spiking, its AI agent figures out what broke and why. You get 1 short alert with the cause and a suggested fix.@svpinoEvery developer dreams of an agent that proactively monitors and suggests a fix whenever something breaks. This is a pretty cool app: • Connect Sazabi to your application logs • Connect your repository as well • You'll get issue alerts with the likely cause and suggested fix • You can ask follow-up questions • You can work with your coding agent on the final fix@ScobleizerAgents merging their own PRs. Hundreds of deploys a day. A codebase nobody fully understands anymore. So who notices when something breaks at 2am? @sazabi reads your logs, spots what's off, investigates it, and tells you what's actually wrong before your users find it. No dashboards to babysit. If AI is writing half your code, what's watching it in production?@rohanpaul_aiLog search latency decides whether a coding agent can debug in a loop or stalls waiting on every query. @sazabi built its own log intake, storage and query system to run issue detection, and 1.0 opens that layer up: plain-English queries from the terminal, the web app, or directly from an agent. The company says it is the fastest log search on the planet. Your app keeps a running diary of everything it does, and Sazabi reads it nonstop. When something looks off, like payment errors suddenly spiking, its AI agent figures out what broke and why. You get 1 short alert with the cause and a suggested fix.—
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