Whatever fires, an alert, a customer complaint, a query timing out, Fixter reads your logs, investigates, and hands you the root cause.
Every morning, this is waiting for you.
It takes hours away from your real work. And you hate investigating them.
How it works
Datadog, CloudWatch, Sentry, your logs and traces and metrics. It reads them live the moment something fires and stores none of it.
An alert fires, a customer reports something broken, a query starts timing out. An agent picks it up the second it lands. Nobody gets paged first.
Is this real or just noise? How many users are hit? Did it start after a deploy? Where did it actually break? It pulls the logs, traces the request, and works through all of it like an engineer would.
Root cause, blast radius, and the next step, with a link to the exact log behind every claim. For the fix, pull the whole investigation into your coding agent via mcp (like claude code).
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Your code stays yours
Fixter never touches your code. Pull the whole investigation into Claude Code through our MCP, let it analyse the fix against your codebase, and stay in control of the solution the whole way.
Letting AI near production
It reads logs, traces, and metrics. Never your repo.
Queried live for one investigation, then discarded.
Each line links to the exact log behind it.

As a product leader at Bolt, I watched 20% of my engineering resource go into just debugging issues instead of building.

I ran a payments system moving over €1B a year at EasyPark. The hard part was never the fix, it was the hours of digging just to find what actually broke.
One investigation is one alert or ticket, worked end to end. Higher volume? Fixed monthly rates available, we'll size it with you.