Oliver Kieselbach 9236aba46e web: canonical inner-async wrappers for all fetch-effect lint sites (batch 1)
Convert every useEffect that directly invokes a state-setting fetch
callback to the canonical inner-async shape (const run = async () => {...};
void run();) — the react-hooks/set-state-in-effect rule traces direct
calls but accepts effect-scoped async functions. Semantic no-op: an async
body runs synchronously until its first await, so execution order is
byte-identical. Leading loading/error/data resets that are part of the
fetch flow move to the top of run in unchanged order.

52 files, ~60 sites. Lint 99 -> 36 warnings; remaining sites are
reset/derive effects and sensitive context/sidebar refactors (next
batches).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 18:55:49 +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

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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
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C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%