Microsoft Intune Device Preparation Policy Streamlines Windows 365 Cloud PC Setup

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Microsoft's device preparation policy for Windows 365, built on Windows Autopilot v2, ensures that required apps and scripts are fully installed on a Cloud PC before a user's first sign-in, eliminating the traditional gap where devices provisioned without essential software. The policy supports Windows 365 Enterprise, Flex, and Cloud Apps SKUs and is linked directly to a provisioning policy in Microsoft Intune, removing the need to manage separate group assignments. Administrators can configure the policy to either block user access or allow connection with warnings if app installation fails or times out, giving IT teams clear control over device readiness standards. Unlike custom image approaches, the solution uses standard gallery images combined with Intune app delivery, reducing overhead from image versioning and maintenance. Deployment progress can be monitored through the Windows Autopilot device preparation report, which tracks per-device status, deployment phase, and the installation state of each individual app and script.

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Django 6.1's FETCH_PEERS cuts N+1 query loops from 2,001 queries to just 2

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ProgrammingDEV Community ·

Unity Tool Lets Developers Scan All Prefabs for Missing Scripts Before Build

Missing scripts in Unity prefabs often go undetected during development, surfacing only after a script is renamed, deleted, or affected by a merge conflict. Unity flags these broken references in the Inspector as 'Missing (Mono Script)', indicating a serialized component whose backing script can no longer be resolved. A developer on DEV Community has shared an Editor utility called MissingScriptScanner.cs that automates detection by scanning every prefab asset in a project using PrefabUtility.LoadPrefabContents. The tool reports affected prefab paths and a total count of missing scripts directly in the Unity Console via a Tools menu command. While a missing script does not always cause an immediate crash, it can silently strip critical logic such as collision, AI, or animation behaviour from a prefab.

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ProgrammingDEV Community ·

Langfuse fills the observability gap left by traditional APM tools for AI agents

Conventional observability platforms like Grafana and Datadog excel at monitoring infrastructure and HTTP performance but cannot detect AI-specific failures such as hallucinations, wrong tool selection, or poor response quality. These semantic and reasoning-level issues leave no trace in standard metrics, making it nearly impossible to diagnose why an AI agent underperformed in a specific interaction. Langfuse is an open-source LLM engineering platform that addresses this blind spot through tracing, prompt management, evaluation, and experimentation features. Unlike general APM tools, it treats AI applications as continuously evolving systems that improve through iterative feedback loops driven by user signals and prompt version comparisons. The platform also solves the problem of hardcoded prompts by centralizing them with native versioning and environment-based deployment controls, removing the need for full code deployment cycles on every prompt adjustment.

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ProgrammingDEV Community ·

How to Build a RAG System on AWS Using Terraform, Bedrock, S3, and OpenSearch

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