Oliver Kieselbach fda52666d6 web: clear set-state-in-effect lint warning on the annotations page
The annotations overview pushed the ESLint warning count to 100, one over
the frozen --max-warnings 99 cap, failing CI since 66d25f57's run. The
react-hooks/set-state-in-effect rule flags any direct effect call into a
state-setting useCallback, even with every setState behind an await.

Restructure instead of suppressing: loading/error begin-state moves from
fetchPage into the interaction sites (filter selects, load-more; mount is
covered by the initial state), and the effect invokes fetchPage through an
inner async wrapper so no setState is synchronously reachable. Lint is
back to exactly 99.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 17:19:52 +02:00
2026-08-06 13:53:56 +02:00
2026-07-29 16:00:17 +02:00
2026-03-26 07:02:33 +01:00

AutopilotMonitor

Status License Website

Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.

Availability

Autopilot Monitor is publicly available — the Community plan is free. Sign in with your work account at autopilotmonitor.com; new organizations complete a short activation step after first sign-in.

Overview

Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:

  • Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
  • Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
  • Backend API — Azure Functions-based ingestion and processing pipeline
  • Web Dashboard — Next.js application for real-time monitoring and fleet analytics

Architecture

For detailed information about the system architecture, components, and data flow, see Architecture Documentation.

Documentation

Full admin documentation is available at docs.autopilotmonitor.com

License

This project uses a split licensing model:

  • MIT License — Agent (src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices
  • AGPL-3.0 — Backend (src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source

See LICENSE for full details.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
Readme AGPL-3.0 60 MiB
Languages
C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%