//devdigest
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All about software development: .NET, C#, F#, Azure and other Microsoft technologies! For more information visit https://bio.link/devdigest
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доля реакций к просмотрам- 22 июл.⚡️ Mistral AI strikes multibillion-dollar deal with Microsoft to expand Azure in Europe French startup Mistral AI — one of Europe's leading AI developers, known for its open-weight large language models and seen as the continent's main alternative to OpenAI — has announced a multibillion-dollar partnership with Microsoft to expand computing infrastructure across Europe (no specific figure was disclosed). The deal integrates Mistral's models into the Azure Foundry service and gives Azure customers access to the startup's France-based data centers. Two models are being added to Foundry — Mistral Medium 3.5 (open weights) and OCR 4 for document processing — with deployment options including Azure Local environments to meet data residency requirements. Microsoft President Brad Smith said the deal combines American and European technology. The partnership aligns with Europe's push for "sovereign AI." ♻️ Subscribe for free now!1,47%
- 22 июл.⚡️ Microsoft releases QDK 1.30 with faster quantum program compilation Microsoft has released version 1.30 of the Quantum Development Kit (QDK) — a platform for building quantum programs that compiles code from Q#, OpenQASM, and Qiskit into the industry-standard QIR format. The main addition is expanded capabilities for the Adaptive profile: expressing loops directly without unrolling, calling functions without inlining, and supporting unbounded loops such as "repeat-until-success." In some cases this cuts compilation time and program size by orders of magnitude. The release also adds new editor quick-fixes (auto-import and converting qubits to arrays) and configurable qubit-loss policies in noise models for two-qubit gates. In total, the release includes more than 40 merged pull requests with improvements to QIR generation, Stim compiler support, and the type system. ♻️ Subscribe for free now!1,39%
- 13 июл.⚡️ Brain: the AI system that flags Azure outages Microsoft has unveiled Brain, an internal AI-based system that continuously monitors Azure's health and increasingly acts on its own: declaring outages, halting problematic rollouts, and notifying affected customers. As Azure CTO Mark Russinovich explained, Brain builds a real-time digital twin of the cloud and assesses service health using machine learning. Automatic notifications have markedly cut support tickets, as customers learn about a problem before they need to call. On top of Brain, the company is already running AI agents that help find and fix the cause of an outage faster. ♻️ Subscribe for free now!1,33%
- 14 авг.⚡️ Six performance improvements in .NET 11 Steven Giesel breaks down six notable performance improvements in .NET 11, with benchmarks of .NET 10 vs .NET 11 Preview 6 on an Apple M2 Pro. They include: eliminating boxing in generic enum equality checks — up to 86% faster with zero allocations; removing redundant range and null checks in vector operations (~10%); timezone-rule caching that speeds up DateTime.Now by 48%; Guid parsing optimized by 20–25%; faster LINQ Min/Max on small types via vector shuffling (up to 70–75% on bytes and shorts); and overall reductions in generated code size. The key takeaway: the gains come automatically — just upgrade, with no changes to your own code. ♻️ Subscribe for free now!0,00%
- 10 авг.⚡️ F# Weekly #32, 2026 A new issue of the F# Weekly digest is out. The week's main releases are the FSharp.Data 8.2.0 data-access library and the Mibo 4.0 game framework, whose notably faster PBR pipeline for 3D rendering reaches GPU-bound performance across the raylib and MonoGame backends. The issue also covers fresh updates to FSharp.TypeProviders.Templates 8.11, SQLProvider 1.5.27, SwaggerProvider, linq2db.FSharp, and Polars.FSharp. Notable projects include Plinth (a local-first markdown notebook built with F# and Tauri), Thuja (a minimalist library for terminal UIs), and FsLangMCP (an MCP server that exposes F# compiler services to AI agents). A key theme of the issue is the growth of the F# MCP ecosystem for AI workflows. From Microsoft: NuGet security enhancements, testing-platform improvements, and Agent Framework updates. ♻️ Subscribe for free now!0,00%
- 8 авг.⚡️ Azure CTO runs DOOM inside Microsoft Paint — 35 FPS and "undo death" via Ctrl+Z Mark Russinovich, CTO of Microsoft Azure, spent his spare time getting classic DOOM to run inside Microsoft Paint and published the source of the DoomPaint project on GitHub. The project delivers 35 frames per second at 320×200 or 640×400. A standout feature is "undo death": with Ctrl+Z you can rewind frames and effectively turn back time after your character dies. The experiment continues the community's long tradition of running DOOM on anything — from test strips and calculators to cash registers and refrigerators; now plain old Paint joins that list. ♻️ Subscribe for free now!0,00%
- 8 авг.⚡️ Modern authentication in ASP.NET Core: 2FA and passkeys On the elmah.io blog, Ali Hamza Ansari walks through implementing two modern security mechanisms in ASP.NET Core on .NET 10: two-factor authentication (2FA) and passkey login built on the WebAuthn/FIDO2 standards. For 2FA, he covers registration and login, QR code generation for authenticator apps, TOTP one-time-code verification, recovery codes, and account lockout after failed attempts. The passkey section covers credential registration (attestation) and passwordless login (assertion) with biometric or PIN verification, plus key storage and signature-counter validation. It's built on ASP.NET Core Identity, Entity Framework Core, the Fido2NetLib package, and PostgreSQL. The approach markedly reduces risk compared to plain passwords while making login easier for users. ♻️ Subscribe for free now!0,00%
- 4 авг.⚡️ An architectural view of ML.NET: machine learning without leaving the .NET ecosystem Abdul Rahman breaks down the architecture of ML.NET — Microsoft's open-source, cross-platform machine learning framework that lets you train, evaluate, and deploy ML models in familiar C# without a Python runtime or third-party libraries. He suggests splitting the solution into three projects: a trainer (a console app that loads data, trains, and saves the model), a schema library with shared data types, and a client (Web API, Blazor, or Worker) that runs predictions. At its core are MLContext as the entry point (analogous to EF's DbContext), the lazy tabular IDataView abstraction, and pipelines composed via a chainable Append and executed on Fit(), much like LINQ. Trainers are grouped by task type — classification, regression, clustering, anomaly detection, ranking, forecasting. For ASP.NET Core, PredictionEnginePool provides thread-safe predictions and hot model reload. ♻️ Subscribe for free now!0,00%
- 2 авг.⚡️ Azure now checks your Linux machines' security against the CIS benchmark automatically Microsoft has added built-in checking of Linux servers against the CIS Benchmark security standards in Azure — and the feature is already generally available. It works in Azure and Azure Arc through Azure Machine Configuration, continuously comparing Linux system settings against the globally recognized CIS requirements. Azure itself finds weak spots in the configuration, flags drift from the desired settings, and produces compliance reports via Azure Policy; rules can be customized and exceptions defined. Previously this required separate tools or manual checks — now it's all built in, making it easier for security teams to tidy things up and demonstrate compliance with regulatory requirements across many servers at once. ♻️ Subscribe for free now!0,00%
- 2 авг.⚡️ F# Weekly #31, 2026 A new issue of the F# Weekly digest is out. The spotlight is on Microsoft's announcements for .NET developers: the MCP C# SDK 2.0 release, a new agent for unit-testing polyglot projects, integration of the MSBuild binary log (binlog) analyzer into VS Code, Agent Framework updates for discovering MCP server skills, and the July Visual Studio update with agents powered by the GitHub Copilot SDK. Notable ecosystem projects include MongrelDB-FSharp (a pure-F# client for an embedded database with SQL and vector search), the Axial typed-results library, the reactive Fable.Reactive, and Fable.Giraffe. The issue also covers ten fresh package releases, including Mibo 3.0, plus pieces on Result type design and enterprise AI patterns. ♻️ Subscribe for free now!0,00%
- 31 июл.⚡️ Haiqu applies quantum optimization to wireless network design Haiqu, a Ukrainian startup building quantum software that makes better use of today's noisy quantum processors, has introduced a new algorithm, DCA, for optimizing wireless networks. It solves the connected dominating set problem — finding the smallest number of relay devices that traffic must pass through to keep an entire mesh, IoT, or ad-hoc network connected. Rather than searching for a perfect solution outright, the algorithm gradually improves an existing candidate. The test ran on the 156-qubit IBM Quantum Kingston processor on a 73-node graph: DCA consistently outperformed the standard LR-QAOA and found a more compact network backbone. Tuning it to the processor's specifics cut the number of complex operations and the computation depth by nearly threefold. The algorithm also reuses tuned parameters from smaller problems on larger ones. The results will be presented at the IEEE ICCCN conference. ♻️ Subscribe for free now!0,00%
- 31 июл.⚡️ AKS without a hypervisor: Microsoft runs Kubernetes straight on bare metal Microsoft has deployed Azure Kubernetes Service directly on physical hardware — with no hypervisor layer. The new option combines the Azure Local Small Form Factor platform with AKS Arc on Linux and connects automatically to Azure Arc for centralized management. Dropping virtualization dedicates all resources to workloads while keeping the familiar Azure experience — portal, Bicep, policies, monitoring, and GitOps. As Thomas Maurer notes, the solution is built for the edge — retail, manufacturing, field sites — as well as sovereign datacenters and scenarios where maximum performance matters. The same Kubernetes and a single interface now run everywhere, from the cloud to the network edge. ♻️ Subscribe for free now!0,00%