Mastering Query Fields in Azure AI Document Intelligence with C#
Introduction Azure AI Document Intelligence simplifies document data extraction, with features like query fields enabling targeted data retrieval. However, using these features with the C# SDK can be tricky. This guide highlights a real-world issue, provides a corrected implementation, and shares best practices for efficient usage. Use case scenario During the cause of Azure AI Document Intelligence software engineering code tasks or review, many developers encountered an error while trying to extract fields like "FullName," "CompanyName," and "JobTitle" using `AnalyzeDocumentAsync`: The error might be similar to Inner Error: The parameter urlSource or base64Source is required. This is a challenge referred to as parameter errors and SDK changes. Most problematic code are looks like below in C#: BinaryData data = BinaryData.FromBytes(Content); var queryFields = new List<string> { "FullName", "CompanyName", "JobTitle" }; var operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, modelId, data, "1-2", queryFields: queryFields, features: new List<DocumentAnalysisFeature> { DocumentAnalysisFeature.QueryFields } ); One of the reasons this failed was that the developer was using `Azure.AI.DocumentIntelligence v1.0.0`, where `base64Source` and `urlSource` must be handled internally. Because the older examples using `AnalyzeDocumentContent` no longer apply and leading to errors. Practical Solution Using AnalyzeDocumentOptions. Alternative Method using manual JSON Payload. Using AnalyzeDocumentOptions The correct method involves using AnalyzeDocumentOptions, which streamlines the request construction using the below steps: Prepare the document content: BinaryData data = BinaryData.FromBytes(Content); Create AnalyzeDocumentOptions: var analyzeOptions = new AnalyzeDocumentOptions(modelId, data) { Pages = "1-2", Features = { DocumentAnalysisFeature.QueryFields }, QueryFields = { "FullName", "CompanyName", "JobTitle" } }; - `modelId`: Your trained model’s ID. - `Pages`: Specify pages to analyze (e.g., "1-2"). - `Features`: Enable `QueryFields`. - `QueryFields`: Define which fields to extract. Run the analysis: Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, analyzeOptions ); AnalyzeResult result = operation.Value; The reason this works: The SDK manages `base64Source` automatically. This approach matches the latest SDK standards. It results in cleaner, more maintainable code. Alternative method using manual JSON payload For advanced use cases where more control over the request is needed, you can manually create the JSON payload. For an example: var queriesPayload = new { queryFields = new[] { new { key = "FullName" }, new { key = "CompanyName" }, new { key = "JobTitle" } } }; string jsonPayload = JsonSerializer.Serialize(queriesPayload); BinaryData requestData = BinaryData.FromString(jsonPayload); var operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, modelId, requestData, "1-2", features: new List<DocumentAnalysisFeature> { DocumentAnalysisFeature.QueryFields } ); When to use the above: Custom request formats Non-standard data source integration Key points to remember Breaking changes exist between preview versions and v1.0.0 by checking the SDK version. Prefer `AnalyzeDocumentOptions` for simpler, error-free integration by using built-In classes. Ensure your content is wrapped in `BinaryData` or use a direct URL for correct document input: Conclusion In this article, we have seen how you can use AnalyzeDocumentOptions to significantly improves how you integrate query fields with Azure AI Document Intelligence in C#. It ensures your solution is up-to-date, readable, and more reliable. Staying aware of SDK updates and evolving best practices will help you unlock deeper insights from your documents effortlessly. Reference Official AnalyzeDocumentAsync Documentation. Official Azure SDK documentation. Azure Document Intelligence C# SDK support add-on query field.Construa, inove e #Hacktogether!
🛠️ Construa, inove e #Hacktogether! 🛠️ 2025 é o ano dos agentes de IA! Mas o que exatamente é um agente? E como você pode criar um? Seja você um desenvolvedor experiente ou esteja apenas começando, este hackathon virtual GRATUITO de três semanas é sua chance de mergulhar no desenvolvimento de agentes de IA. 🔥 Aprenda com mais de 20 sessões lideradas por especialistas, transmitidas ao vivo no YouTube, abordando os principais frameworks, como Semantic Kernel, Autogen, o novo Azure AI Agents SDK e o Microsoft 365 Agents SDK. 💡 Coloque a mão na massa, explore sua criatividade e crie agentes de IA poderosos! Depois, envie seu projeto e concorra a prêmios incríveis! 💸 Datas importantes: Sessões com especialistas: 8 de abril de 2025 – 30 de abril de 2025 Prazo para envio do hack: 30 de abril de 2025, 23:59 PST Não perca essa oportunidade—junte-se a nós e comece a construir o futuro da IA! 🔥 Inscrição 🎟️ Garanta sua vaga agora! Preencha o formulário para confirmar sua participação no hackathon. Em seguida, confira a programação das transmissões ao vivo e inscreva-se nas sessões que mais te interessam. Após se inscrever, apresente-se e procure por colegas de equipe! Submissão de Projetos 🚀 Leia atentamente as regras oficiais e certifique-se de entender os requisitos. Quando seu projeto estiver pronto, siga o processo de submissão. 📝 Prêmios e Categorias 🏅 Os projetos serão avaliados por um painel de jurados, incluindo engenheiros da Microsoft, gerentes de produto e defensores de desenvolvedores. Os critérios de avaliação incluirão inovação, impacto, usabilidade técnica e alinhamento com a categoria correspondente do hackathon. Cada equipe vencedora nas categorias abaixo receberá um prêmio. 💸 Melhor Agente Geral - $20,000 Melhor Agente em Python - $5,000 Melhor Agente em C# - $5,000 Melhor Agente em Java - $5,000 Melhor Agente em JavaScript/TypeScript - $5,000 Melhor Agente Copilot (usando Microsoft Copilot Studio ou Microsoft 365 Agents SDK) - $5,000 Melhor Uso do Azure AI Agent Service - $5,000 Cada equipe pode ganhar em apenas uma categoria. Todos os participantes que submeterem um projeto receberão um badge digital. Transmissões 📅 Português Inscreva-se em todas as sessões em português Dia/Horário Tópico Recursos 4/8 12:00 PM PT Bem-vindo ao AI Agents Hackathon - 4/10 12:00 PM PT Crie um aplicativo com o Azure AI Agent Service - 4/17 06:00 AM PT Seu primeiro agente de IA em JavaScript com o Azure AI Agent Service - Outros Idiomas Teremos mais de 30 transmissões em inglês, além de transmissões em espanhol e chinês. Veja a página principal para mais detalhes. 🕒 Horário de Suporte Técnico Precisa de ajuda com seu projeto? Participe do Horário de Suporte Técnico no canal de Discord de IA e receba orientação de especialistas! 🚀 Aqui estão os horários de atendimento já agendados: Dia/Horário Tópico/Anfitriões Toda quinta-feira, 12:30 PM PT Python + IA (Inglês) Toda segunda-feira, 03:00 PM PT Python + IA (Espanhol) Recursos de Aprendizado 📚 Acesse os recursos aqui! Junte-se ao TheSource EHub para explorar os principais recursos, incluindo treinamentos, transmissões ao vivo, repositórios, guias técnicos, blogs, downloads, certificações e muito mais, atualizados mensalmente. A seção de Agentes de IA oferece recursos essenciais para criar agentes de IA, enquanto outras seções fornecem insights sobre IA, ferramentas de desenvolvimento e linguagens de programação. Você também pode postar perguntas em nosso fórum de discussões ou conversar com outros participantes no canal do Discord.The Startup Stage: Powered by Microsoft for Startups at European AI & Cloud Summit
🚀 The Startup Stage: Powered by Microsoft for Startups Take center stage in the AI and Cloud Startup Program, designed to showcase groundbreaking solutions and foster collaboration between ambitious startups and influential industry leaders. Whether you're looking to engage with potential investors, connect with clients, or share your boldest ideas, this is the platform to shine. Why Join the Startup Stage? Pitch to Top Investors: Present your ideas and products to key decision-makers in the tech world. Gain Visibility: Showcase your startup in a vibrant space dedicated to innovation, and prove that you are the next game-changer. Learn from the Best: Hear from visionary thought leaders and Microsoft AI experts about the latest trends and opportunities in AI and cloud. AI Competition: Propel Your Startup Stand out from the crowd by participating in the European AI & Cloud Startup Stage competition, exclusively designed for startups leveraging Microsoft AI and Azure Cloud services. Compete for prestigious awards, including: $25,000 in Microsoft Azure Credits. A mentoring session with Marco Casalaina, VP of Products at Azure AI. Fast-track access to exclusive resources through the Microsoft for Startups Program. Get ready to deliver a pitch in front of a live audience and an expert panel on 28 May 2025! How to Apply: Ensure your startup solution runs on Microsoft AI and Azure Cloud. Register as a conference and submit your Competiton application form before the deadline: 14 April 2025 at European Cloud and AI Summit. Be Part of Something Bigger This isn’t just an exhibition—it’s a thriving community where innovation meets opportunity. Don’t miss out! With tickets already 70% sold out, now’s the time to secure your spot. Join the European AI and Cloud Startup Area with a booth or launchpad, and accelerate your growth in the tech ecosystem. Visit the [European AI and Cloud Summit](https://ecs.events) website to learn more, purchase tickets, or apply for the AI competition. Download the sponsorship brochure for detailed insights into this once-in-a-lifetime event. Together, let’s shape the future of cloud technology. See you in Düsseldorf! 🎉Microsoft AI Agents Hack April 8-30th 2025
Build, Innovate, and #Hacktogether Learn from 20+ expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. Get hands-on experience, unleash your creativity, and build powerful AI agents—then submit your hack for a chance to win amazing prizes! Key Dates Expert sessions: April 8th 2025 – April 30th 2025 Hack submission deadline: April 30th 2025, 11:59 PM PST Don't miss out — join us and start building the future of AI! Registration Register now! That form will register you for the hackathon. Afterwards, browse through the live stream schedule below and register for the sessions you're interested in. Once you're registered, introduce yourself and look for teammates! Project Submission Once your hack is ready, follow the submission process. Prizes and Categories Projects will be evaluated by a panel of judges, including Microsoft engineers, product managers, and developer advocates. Judging criteria will include innovation, impact, technical usability, and alignment with corresponding hackathon category. Each winning team in the categories below will receive a prize. Best Overall Agent - $20,000 Best Agent in Python - $5,000 Best Agent in C# - $5,000 Best Agent in Java - $5,000 Best Agent in JavaScript/TypeScript - $5,000 Best Copilot Agent (using Microsoft Copilot Studio or Microsoft 365 Agents SDK) - $5,000 Best Azure AI Agent Service Usage - $5,000 Each team can only win in one category. All participants who submit a project will receive a digital badge. Stream Schedule The series starts with a kick-off for all developers, and then dives into specific tracks for Python, Java, C#, and JavaScript developers. The Copilots track will focus on building intelligent copilots with Microsoft 365 and Copilot Studio. English Week 1: April 8th-11th Day/Time Topic Track 4/8 09:00 AM PT AI Agents Hackathon Kickoff All 4/9 09:00 AM PT Build your code-first app with Azure AI Agent Service Python 4/9 12:00 PM PT AI Agents for Java using Azure AI Foundry Java 4/9 03:00 PM PT Build your code-first app with Azure AI Agent Service Python 4/10 04:00 AM PT Building Secure and Intelligent Copilots with Microsoft 365 Copilots 4/10 09:00 AM PT Overview of Microsoft 365 Copilot Extensibility Copilots 4/10 12:00 PM PT Transforming business processes with multi-agent AI using Semantic Kernel Python 4/10 03:00 PM PT Build your code-first app with Azure AI Agent Service (.NET) C# Week 2: April 14th-18th Day/Time Topic Track 4/15 07:00 AM PT Your first AI Agent in JS with Azure AI Agent Service JS 4/15 09:00 AM PT Building Agentic Applications with AutoGen v0.4 Python 4/15 12:00 PM PT AI Agents + .NET Aspire C# 4/15 03:00 PM PT Prototyping AI Agents with GitHub Models Python 4/16 04:00 AM PT Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB C# 4/16 06:00 AM PT Building declarative agents with Microsoft Copilot Studio & Teams Toolkit Copilots 4/16 09:00 AM PT Building agents with an army of models from the Azure AI model catalog Python 4/16 12:00 PM PT Multi-Agent API with LangGraph and Azure Cosmos DB Python 4/16 03:00 PM PT Mastering Agentic RAG Python 4/17 06:00 AM PT Build your own agent with OpenAI, .NET, and Copilot Studio C# 4/17 09:00 AM PT Building smarter Python AI agents with code interpreters Python 4/17 12:00 PM PT Building Java AI Agents using LangChain4j and Dynamic Sessions Java 4/17 03:00 PM PT Agentic Voice Mode Unplugged Python Week 3: April 21st-25th Day/Time Topic Track 4/21 12:00 PM PT Knowledge-augmented agents with LlamaIndex.TS JS 4/22 06:00 AM PT Building a AI Agent with Prompty and Azure AI Foundry Python 4/22 09:00 AM PT Real-time Multi-Agent LLM solutions with SignalR, gRPC, and HTTP based on Semantic Kernel Python 4/22 10:30 AM PT Learn Live: Fundamentals of AI agents on Azure - 4/22 12:00 PM PT Demystifying Agents: Building an AI Agent from Scratch on Your Own Data using Azure SQL C# 4/22 03:00 PM PT VoiceRAG: talk to your data Python 4/14 06:00 AM PT Prompting is the New Scripting: Meet GenAIScript JS 4/23 09:00 AM PT Building Multi-Agent Apps on top of Azure PostgreSQL Python 4/23 12:00 PM PT Agentic RAG with reflection Python 4/23 03:00 PM PT Multi-source data patterns for modern RAG apps C# 4/24 09:00 AM PT Extending AI Agents with Azure Functions Python, C# 4/24 12:00 PM PT Build real time voice agents with Azure Communication Services Python 4/24 03:00 PM PT Bringing robots to life: Real-time interactive experiences with Azure OpenAI GPT-4o Python Week 4: April 28th-30th Day/Time Topic Track 4/29, 01:00 PM UTC / 06:00 AM PT Irresponsible AI Agents Java 4/29, 04:00 PM UTC / 09:00 AM PT Securing AI agents on Azure Python Spanish / Español See all our Spanish sessions on the Spanish landing page. Consulta todas nuestras sesiones en español en la página de inicio en español. Portuguese / Português See our Portuguese sessions on the Portuguese landing page. Veja nossas sessões em português na página de entrada em português. Chinese / 简体字 See our Chinese sessions on the Chinese landing page. 请查看我们的中文课程在中文登录页面. Office Hours For additional help with your hacks, you can drop by Office Hours in our AI Discord channel. Here are the Office Hours scheduled so far: Day/Time Topic/Hosts Every Thursday, 12:30 PM PT Python + AI (English) Every Monday, 03:00 PM PT Python + AI (Spanish) Learning Resources Access resources here! Join TheSource EHub to explore top picks including trainings, livestreams, repositories, technical guides, blogs, downloads, certifications, and more, all updated monthly. The AI Agent section offers essential resources for creating AI Agents, while other sections provide insights into AI, development tools, and programming languages. You can also post questions in our discussions forum, or chat with attendees in the Discord channel.
Looking for Powershell approach to deploying a Visual Studio web package zip file
We have been using ADO to deploy web package zip files to IIS sites. Now looking at some work in Harness and need a Powershell approach to deploying these same zip files. the deploy approach has to be familiar with the package structure of Visual Studio when its builds with /p:WebPublishMethod=Package. the zip file has quite a few levels of folder structure starting with Content\ folder systeminfo.xml parameters.xml archive.xml Are there any powershell commands that will deploy these types of web packages?The Future of AI: Reduce AI Provisioning Effort - Jumpstart your solutions with AI App Templates
In the previous post, we introduced Contoso Chat – an open-source RAG-based retail chat sample for Azure AI Foundry, that serves as both an AI App template (for builders) and the basis for a hands-on workshop (for learners). And we briefly talked about five stages in the developer workflow (provision, setup, ideate, evaluate, deploy) that take them from the initial prompt to a deployed product. But how can that sample help you build your app? The answer lies in developer tools and AI App templates that jumpstart productivity by giving you a fast start and a solid foundation to build on. In this post, we answer that question with a closer look at Azure AI App templates - what they are, and how we can jumpstart our productivity with a reuse-and-extend approach that builds on open-source samples for core application architectures.New-MgBookingBusinessService CustomQuestions
Hi! I'm working my way though BookingBusiness with PowerShell, so please forgive me if this is obvious. I've tried combing documentation but nothing seems to work. I have this script, and first, I think I have to create the customQuestions and have done so successfully and have the reference IDs for the questions to use in the New-MgBookingBusinessService script. I cannot seem to get the customQuestion piece to work. I'm first getting the available business staff and the custom questions I've already created. Everything works until I try the CustomQuestions piece. Here is what I have if you could please provide any assistance or guidance. Thank you! # Define the Booking Business ID $bookingBusinessId = "SCRUBBED" # Path to your CSV file $csvFilePath = "SCRUBBED" # Import CSV file $staffEmails = Import-Csv -Path $csvFilePath # Retrieve all staff members for the booking business Write-Host "Fetching all staff members for booking business ID: $bookingBusinessId" $allStaff = Get-MgBookingBusinessStaffMember -BookingBusinessId $bookingBusinessId # Ensure $allStaff is not null or empty if (-not $allStaff) { Write-Error "No staff members found for the booking business ID: $bookingBusinessId" return } # Debugging: Display all staff members retrieved (with Email and ID) Write-Host "Staff members retrieved (Email and ID):" -ForegroundColor Green $allStaff | ForEach-Object { $email = $_.AdditionalProperties["emailAddress"] $id = $_.Id $displayName = $_.AdditionalProperties["displayName"] Write-Host "DisplayName: $displayName, Email: $email, ID: $id" -ForegroundColor Yellow } # Retrieve all custom questions for the booking business Write-Host "Fetching all custom questions for booking business ID: $bookingBusinessId" $allCustomQuestions = Get-MgBookingBusinessCustomQuestion -BookingBusinessId $bookingBusinessId # Ensure $allCustomQuestions is not null or empty if (-not $allCustomQuestions) { Write-Error "No custom questions found for the booking business ID: $bookingBusinessId" return } # Debugging: Display all custom questions retrieved (with ID and DisplayName) Write-Host "Custom questions retrieved (ID and DisplayName):" -ForegroundColor Green $allCustomQuestions | ForEach-Object { $id = $_.Id $displayName = $_.DisplayName Write-Host "ID: $id, DisplayName: $displayName" -ForegroundColor Yellow } # Loop through each staff member in the CSV and create an individual service for them Write-Host "Creating individual booking services for each staff member..." $staffEmails | ForEach-Object { $email = $_.staffemail.Trim().ToLower() # Find the matching staff member by email $matchingStaff = $allStaff | Where-Object { $_.AdditionalProperties["emailAddress"] -and ($_.AdditionalProperties["emailAddress"].Trim().ToLower() -eq $email) } if ($matchingStaff) { $staffId = $matchingStaff.Id Write-Host "Match found: Email: $email -> ID: $staffId" -ForegroundColor Cyan # Create the booking service for the matched staff member try { $serviceParams = @{ BookingBusinessId = $bookingBusinessId DisplayName = "$($matchingStaff.AdditionalProperties["displayName"]) Family Conference" StaffMemberIds = @($staffId) # Create a service only for this staff member DefaultDuration = [TimeSpan]::FromHours(1) DefaultPrice = 50.00 DefaultPriceType = "free" Notes = "Please arrive 10 minutes early for your booking." CustomQuestions = $allCustomQuestions | ForEach-Object { @{ Id = $_.Id IsRequired = $true # or $false depending on your requirement } } } # Log the parameters being sent Write-Host "Service Parameters for $($matchingStaff.AdditionalProperties["displayName"]):" -ForegroundColor Blue $serviceParams.GetEnumerator() | ForEach-Object { Write-Host "$($_.Key): $($_.Value)" } New-MgBookingBusinessService @serviceParams Write-Host "Booking service successfully created for $($matchingStaff.AdditionalProperties["displayName"])!" -ForegroundColor Green } catch { Write-Error "Failed to create booking service for $($matchingStaff.AdditionalProperties["displayName"]): $_" } } else { Write-Warning "No match found for email: $email" } }Utilizando Slash commands en GitHub Copilot para Visual Studio
En este blog, demostraremos más información de los comandos de barra diagonal (slash commands). Como los llama Bruno Capuano en un video, "pequeños hechizos mágicos"; en otras palabras, al escribir una barra diagonal (/) en un símbolo del sistema de GitHub Copilot, se abre una opción en la que puede elegir algunos comandos que tendrán una acción predefinida. [Blog original en inglés creado por Laurent Bugnion y Bruno Capuano] Abriendo el menú de los comandos “Slash” Para abrir el menú de comandos de barra diagonal, puedes hacer clic en el botón Barra diagonal dentro de la ventana de chat de GitHub Copilot, como se muestra en la imagen inferior. Otra opción es simplemente escribir una barra diagonal en el área de GitHub Copilot Chat. Cualquiera de las dos acciones abrirá el menú que se ve así: Repasemos los comandos: doc: Este comando ayuda a crear un comentario de documentación relacionado con la selección determinada. Por ejemplo, si el cursor está dentro de un método, GitHub Copilot propondrá un comentario para este método. exp: Este comando comienza un nuevo hilo de conversación, con un contexto completamente nuevo. Después, puedes cambiar entre conversaciones desde un cuadro combinado en la parte superior de la ventana de chat. explain: Este comando explicará una parte del código. Si seleccionas un código, GitHub Copilot te explicará este código. También puedes utilizar el comando # para especificar un contexto diferente. fix: Este comando propondrá una corrección para el código seleccionado. generate: Este comando generará un código correspondiente a la pregunta que acabas de hacer. help: Este comando mostrará ayuda sobre GitHub Copilot. optimize: Este comando analizará el código en contexto y propondrá una optimización (en términos de rendimiento, líneas de código, etc.). tests: Este comando creará una prueba unitaria para el código seleccionado. Obtendremos más detalles sobre cada uno de estos comandos en futuras publicaciones. Más información Como siempre, puedes encontrar más información, en nuestra colección de Microsoft Learn. Mantente al tanto de este blog para obtener más contenido. Y, por supuesto, ¡también puedes suscribirte a nuestro canal de YouTube!Creación de pruebas con GitHub Copilot para Visual Studio
[Blog original escrito en inglés por Laurent Bugnion y Bruno Capuano] En nuestra industria, es común que nosotros los programadores enfrentemos diferentes desafíos como: documentar código y crear pruebas unitarias. GitHub Copilot puede ser de gran ayuda en estas áreas, facilitando y mejorando estos procesos. Los comandos de barra (slash), "hechizos mágicos" para Visual Studio Estos pueden aparecer escribiendo la barra diagonal '/' (slash command) en el chat de GitHub Copilot en Visual Studio. Luego, se abrirá un menú donde puede seleccionar un comando, por ejemplo, /fix para arreglar algún código, o /optimize. También tenemos /doc que, como su nombre indica, te ayudara a crear documentación para el código seleccionado, por ejemplo, un método o una propiedad. El último comando que se muestra en el screenshot anterior es /tests. Este es especialmente útil para ayudarle a empezar a trabajar con las pruebas unitarias para el código actual en contexto. En el video corto (en inglés) que publicó Laurent, Bruno Capuano muestra cómo GitHub Copilot puede proponer pruebas unitarias para toda una clase. Para hacer eso, Bruno comienza escribiendo /tests en la ventana de chat de Copilot, y luego escribe un hash '#' que abrirá otro menú contextual para seleccionar el contexto. La importancia del contexto Para los modelos de LLM, el contexto es crucial para la correcta ejecución de las solicitudes. El contexto se ingresa en el prompt junto con la entrada del usuario, lo que se conoce como metaprompts. En otras palabras, cualquier información que ayude al LLM a generar resultados más precisos es útil. En GitHub Copilot para Visual Studio, el contexto puede ser: el código seleccionado, otro archivo de programación o incluso toda la solución. Estas opciones se pueden seleccionar desde el ‘hash context menú”, como se muestra aquí: Creando las pruebas Una vez que se ejecute este comando, el chat de Copilot propondrá una sugerencia de cómo podrían ser las pruebas. Ten en cuenta que, al igual que con todas las demás características de GitHub Copilot, esto está destinado a ayudarte a ti, el programador a cargo, y no solo a hacer el trabajo por ti. El código creado debe ser verificado y aprobado por ti, y probado exhaustivamente para asegurarte de que realmente hace lo que esperaba (sí, vas a probar las pruebas unitarias). GitHub Copilot te ayuda al hacer más rápido el proceso y más eficiente, pero no está reemplazando tu función de verificar el código. La diferencia aquí, en comparación con las características anteriores que mostramos, es que GitHub Copilot propone crear las pruebas en un nuevo archivo. Esto es lo que normalmente hacemos para las pruebas unitarias, con clases y métodos dedicados. Asimismo, esto está disponible aquí con el botón Insertar en un nuevo archivo. Una vez creado el nuevo archivo, debes guardarlo en la solución. De hecho, es probable que desees organizar las pruebas en una biblioteca de clases independiente en la misma solución. Más información Laurent y Bruno han recolectado una lista de recursos aquí y esperamos que esta información sea útil para que empieces y mejores tus habilidades en Visual Studio. También puedes ver un video relacionado de 13 minutos aquí, y ver otros videos de la serie aquí. Mantente atento a más contenido suscribiéndote a este blog y al canal de YouTube de Visual Studio.Using Visual Studio Notebooks for learning C#
Getting Started Install Notebook Editor Extension: Notebook Editor - Visual Studio Marketplace C# 101 GitHub Repo dotnet/csharp-notebooks: Get started learning C# with C# notebooks powered by .NET Interactive and VS Code. (github.com) Machine Learning and .NET dotnet/csharp-notebooks: Get started learning C# with C# notebooks powered by .NET Interactive and VS Code. (github.com) .NET Interactive Notebooks for C# dotnet/csharp-notebooks: Get started learning C# with C# notebooks powered by .NET Interactive and VS Code. (github.com)
