Real-Time AI Observability: Dashboards That Show Actual Database Rows

<p>On January 28, 2026, Moltbook launched to considerable fanfare. The pitch was bold: an "agent-first, human-second" social network where 1.5 million autonomous AI agents could

<h2> The Numbers Don't Lie </h2> <p>The AI Engineering Report 2026 analyzed telemetry from 22,000 developers across more than 4,000 teams. The headline metrics look impressive:

<p>A good way to market a new infrastructure tool is to loudly announce that it is a thousand times faster than whatever you are currently using. This is a very effective strategy

<h1> How I Built a Time-Travel Debugger for AI Agents </h1> <p>What if debugging an AI agent worked more like debugging normal code?</p> <p>Pause execution.</p> <p>Inspect what

<p>A team notices a checkout endpoint slowing down. Response times have crept from 80ms to 900ms over two weeks, but the infrastructure dashboard shows nothing abnormal. So the

<p><em>B-tree internals, column order and planner statistics in Postgres 19, checked against MongoDB's ESR rule.</em></p> <p>Most "add an index" advice stops at <code>CREATE

<p>Most databases store data. SapixDB remembers it.</p> <p>There's a difference — and once you see it, you can't unsee it.</p> <p><strong>Let me start with a story you've probably

<p>For the last few years the tech industry has quietly assumed this<br /><br /> AI is powerful almost free and it will eventually pay for itself </p> <p>Turns out that story is