🎥 La registrazione del Live Coding "Agenti, workflow e conversione di PDF in Markdown" è disponibile online youtube.com/watch?v=MfEHeCfc… #dotnet #ai #aspnetcore #minimalapi

🚀 Pune Tech Talk – June 2026 Pune User Group (PUG), in association with AltZor Digital Solutions and CoReCo Technologies, is pleased to invite you to an exciting tech community event focused on the latest advancements in AI, ASP.NET Core 10, Microsoft Foundry Hosted Agents, MCP Tools, and Agent Skills. PUG has been actively driving technology learning, knowledge sharing, and community collaboration in Pune for many years. Through initiatives like Pune Tech Talk, we continue to bring developers, architects, technology leaders, and enthusiasts together to learn from experts and exchange ideas. 📅 Date: 20th June 2026 ⏰ Time: 10:00 AM – 01:00 PM 📍 Venue: AltZor Digital Solutions | CoReCo Technologies 701, Platinum 9, Pashan-Sus Road, Near Audi Showroom, Baner, Pune – 411045 maps.app.goo.gl/S9Qt6h9bhZGr… 🎤 Sessions: 🔹 New AI Capabilities in ASP.NET Core 10 Speaker: Mahesh Sabnis, Microsoft MVP Explore the powerful new AI capabilities in ASP.NET Core 10, including AI response streaming and working with independent models. 🔹 Microsoft Foundry Hosted Agents: Intro to Tech & Business Value Speaker: Bhushan Gawale, Microsoft MVP Understand how Microsoft Foundry Hosted Agents bridge technical implementation and business value to improve efficiency and outcomes. 🔹 Extending AI Agents: MCP Tools vs Agent Skills — When to Use What Speaker: Manish Lad Learn how MCP Tools and Agent Skills extend AI agent capabilities, with live demos and a practical decision framework for building better agents. A big thank you to Altzor Digital Solutions and CoReCo Technologies Private Limited for joining hands with PUG and supporting this community initiative. 👉 Register and view event details here: meetup.com/puneusergroup/eve… Let’s connect, learn, and grow together with the Pune tech community. #Pune #PuneUserGroup #PUG #PuneTechTalk #AI #AspNetCore #DotNet #MicrosoftFoundry #AIAgents #MCP #CommunityEvent #MicrosoftMVP

Building a Controller-Based CRUD Web API with ASP.NET Core & EF Core open.substack.com/pub/dotnet… #aspnetcore #efcore #aspnetwebapi #webapi #rest #dotnetmirror #aspnet #sql Subscribe to the YouTube channel - youtube.com/dotnetmirror?sub…

Enterprise AI gets expensive when useful capabilities are trapped inside one chatbot, one Power App, one workflow, or one pile of prompt files. That structure may work for a demo, but it does not scale well across departments. If the same document summarization, entity extraction, classification, response drafting, or approved knowledge search pattern is rebuilt separately by IT, HR, finance, operations, and compliance, the business creates duplicate logic and inconsistent behavior. The better pattern is to organize reusable AI work into capability libraries and services. Common capabilities should be reused across departments. Domain-specific capabilities should be specialized where business rules, permissions, documents, workflows, and risk levels are different. For Microsoft-based organizations, this maps naturally into .NET class libraries, C# services, ASP.NET Core APIs, Azure OpenAI, SQL Server, SharePoint, Microsoft identity, Power Platform, Teams, and internal business applications. The interface should call the capability. The capability should not be trapped inside the interface. The production workflow behind this video was built using the same methodology I apply for enterprise clients — I identified a real production bottleneck, evaluated AI options, and built a .NET-integrated workflow using AI tools to deliver it faster, better, and at lower cost. The thinking that improved my own workflow is the same thinking I bring to yours. Explore more practical, applied enterprise AI insights at AInDotNet.com. #EnterpriseAI #AIArchitecture #AIGovernance #ProductionAI #AICapabilities #MicrosoftAI #DotNet #CSharp #AzureOpenAI #ASPNetCore #PowerPlatform #SharePoint #SQLServer #AIAssistants #BusinessAutomation #SoftwareArchitecture #DomainDrivenDesign #AInDotNet

🚨 Duplicate requests breaking your ASP.NET APIs? Implement the Idempotency Pattern to safely handle retries and prevent unwanted duplicate operations! 🔄 🛡️ Guide: ottorinobruni.com/how-to-imp… How do you handle duplicates? 👇 #dotnet #ASPNETCore #Idempotency

🚨 Duplicate requests causing chaos in your ASP.NET APIs? Implement the Idempotency Pattern to safely handle retries and prevent duplicate operations! 🔄🛡️ Guide: ottorinobruni.com/how-to-imp… How do you handle duplicates? 👇 #dotnet #ASPNETCore #Idempotency

Model Validation in ASP .NET Core: Data Annotations and FluentValidation by @devleaderca devleader.ca/2026/06/06/mode… #aspnetcore

The Updated Edition of Blazor Succinctly Is Now Available by BlazorHelpWebsite blazorhelpwebsite.com/ViewBl… #aspnetcore #blazor

Creating .NET apps takes forever - then we tried AI by @RoundTheCode roundthecode.com/dotnet-blog… #aspnetcore

Model Prep for Blazor Web App - C# on Linux Episode 21 by @IAmTimCorey youtube.com/watch?v=Z6NSE4Iy… #aspnetcore #blazor

codex for open source! just granted about another huge batch including some that you might recognize! tensorflow/tensorflow n8n-io/n8n twbs/bootstrap github/gitignore ytdl-org/youtube-dl vercel/next.js 30-seconds/30-seconds-of-code kubernetes/kubernetes papers-we-love/papers-we-love angular/angular neovim/neovim microsoft/web-dev-for-beginners florinpop17/app-ideas bitcoin/bitcoin gin-gonic/gin microsoft/playwright laravel/laravel gothinkster/realworld spring-projects/spring-boot tensorflow/models apple/swift unclecode/crawl4ai tldr-pages/tldr snowpackjs/astro embedchain/embedchain vim/vim pingcap/tidb jonnyburger/remotion aspnet/aspnetcore seleniumhq/selenium jqlang/jq immutable-js/immutable-js anncwb/vue-vben-admin pynecone-io/pynecone martinvonz/jj serverless-stack/serverless-stack manojvivek/responsively-app trekhleb/homemade-machine-learning sipeed/picoclaw spicetify/spicetify-cli vueuse/vueuse guidance-ai/guidance nautechsystems/nautilus_trader hshoff/vx preservim/nerdtree officedev/office-ui-fabric-react carlospolop/peass-ng reduxjs/reselect adonisjs/adonis-framework rizinorg/cutter facebookresearch/llama-recipes stackexchange/dapper resendlabs/react-email tomav/docker-mailserver lichess-org/lila google/libphonenumber apache/incubator-brpc googlechrome/chrome-app-samples hwchase17/langchainjs fanux/sealos argoproj/argo argoproj/argo-workflows rjsf-team/react-jsonschema-form secureauthcorp/impacket scylladb/scylla uuidjs/uuid cayleygraph/cayley cesiumgs/cesium eclipse-vertx/vert.x pyodide/pyodide jetstack/cert-manager rileytestut/altstore sunnyyoung/wechattweak-macos pydanny/cookiecutter-django pandas-profiling/pandas-profiling espanso/espanso ansible-semaphore/semaphore k9mail/k-9 nock/nock dotnet/aspnetcore.docs selectize/selectize.js mozilla-mobile/firefox-ios wanghongenpin/network_proxy_flutter webpack-contrib/webpack-bundle-analyzer alicevision/meshroom actions/virtual-environments jxnl/instructor theramu/fay svprogresshud/svprogresshud lexikos/autohotkey_l lipis/flag-icon-css redpanda-data/redpanda vega/vega mrjbq7/ta-lib uber/ludwig keplergl/kepler.gl devicons/devicon crossplane/crossplane openaccess-ai-collective/axolotl go-shiori/shiori audiokit/audiokit pyroscope-io/pyroscope px4/px4-autopilot quickwit-oss/quickwit vuecomponent/ant-design-vue-pro divanteltd/vue-storefront k2-fsa/sherpa-onnx jantimon/html-webpack-plugin mockery/mockery automattic/node-canvas divio/django-cms containers/skopeo kubernetes/kompose lucia-auth/lucia microsoft/fluentui-system-icons triton-inference-server/server pressly/goose altair-viz/altair pwndbg/pwndbg maplibre/maplibre-gl-js webtorrent/webtorrent-desktop hackmdio/codimd

10 Async/Await Mistakes That Kill ASP .NET Core API Performance in 2026 — Real Causes, Before/After Code, Production Metrics by Randhir Jassal prepstack.co.in/blog/async-a… #aspnetcore

A working prompt is not the same thing as a production AI capability. That distinction matters for enterprise AI. A prompt may solve one narrow task, but a real AI capability has a defined business job, explicit inputs, structured outputs, constraints, permissions, validation, logging, and rules that are enforced by code. For example, “summarize this document” is too vague for production. A better capability would summarize a vendor contract for renewal risk, a support ticket for escalation, or an HR policy section for an employee-facing answer. Those are different capabilities because the inputs, risks, business rules, and expected outputs are different. For Microsoft-based organizations, this fits naturally with C#, .NET, ASP.NET Core, Azure OpenAI, SQL Server, SharePoint, Microsoft identity, Power Apps, Teams, workflows, and internal business systems. The model call is only one part of the solution. The production-ready business function around the model is what turns AI into something reusable and governable. The production workflow behind this video was built using the same methodology I apply for enterprise clients — I identified a real production bottleneck, evaluated AI options, and built a .NET-integrated workflow using AI tools to deliver it faster, better, and at lower cost. The thinking that improved my own workflow is the same thinking I bring to yours. Explore more practical, applied enterprise AI insights at AInDotNet.com. #EnterpriseAI #AIArchitecture #AICapabilities #ProductionAI #AIGovernance #MicrosoftAI #DotNet #CSharp #AzureOpenAI #ASPNetCore #SQLServer #SharePoint #PowerPlatform #AIAssistants #BusinessAutomation #WorkflowAutomation #SoftwareArchitecture #AInDotNet