AI Career Navigator — Empowering Job Seekers with Azure OpenAI
AI Career Navigator is more than just a project — it’s a mission to make career growth accessible, intelligent, and human. Powered by Azure OpenAI, it transforms uncertainty into direction and effort into achievement. Author: Aryan Jaiswal — Gold Microsoft Learn Student Ambassador Reviewer: Julia Muiruri (Microsoft)
Intl.DateTimeFormat missing Welsh (cy / cy-GB) support
Hi! I'm a developer at a company who is currently working with the Welsh government and have come across an issue with Microsoft Edge. When using the Intl.DateTimeFormat JavaScript API in Microsoft Edge, there is no support for cy / cy-GB. Intl.DateTimeFormat.supportedLocalesOf("cy-GB"); // Outputs [] Intl.DateTimeFormat.supportedLocalesOf("cy"); // Outputs [] If a developer tries to do any date formatting with the locale set to cy or cy-GB, only English will be returned. Out of curiosity I tried this with and without the Windows language being set to Welsh / Cymraeg. The result was the same (no support). Mozilla Firefox and Apple Safari have full support. Interestingly Google Chrome does not (perhaps shared issue / limitation of Chromium). Unfortunately this causes a bit of a significant challenge. Any website / web app developed for the Welsh government or related bodies is legally required to be available in Welsh. Due to the popularity of Microsoft Edge, particularly with governments and institutions, developers cannot reliably use the Intl based APIs. The only known workarounds are: To use a formatting library instead of Intl Avoids using the ECMAScript APIs designed to solve problems for developers Additional client side and developer maintenance costs To include very bulky polyfills Popular polyfill, locale and timezone information exceeds 2MB of data for the client to load per website / web app. Unsure if this a bug or locale which is yet to be supported. Adding support for Welsh would be a huge step forward and greatly appreciated by developers working with government bodies. Even better would be adding support for the same languages Windows supports!Web Development for Beginners: Learners Matchmaking!
Hey Everyone, Thanks for joining the Web Development for Beginners course! Learning and building together is the goal of this course. Post the below information and I will make sure to connect you with similar students so you can build together in this 8 weeks! Name Experience Level Location / Timezone Where can we find you? LinkedIn / Twitter / Telegram / etc Example: Korey Stegared-Pace I love JavaScript Europe/Sweden Twitter - koreyspace / LinkedIn: Korey Stegared-Pace
What is GitHub Codespaces and how can Students access it for free?
GitHub Codespaces is a new service that is free for anyone to develop with powerful environments using Visual Studio Code. In this post, we'll cover how you can make use of this new technology and take advantage of its most powerful features.JS AI Build‑a‑thon: Wrapping Up an Epic June 2025!
After weeks of building, testing, and learning — we’re officially wrapping up the first-ever JS AI Build-a-thon 🎉. This wasn't your average coding challenge. This was a hands-on journey where JavaScript and TypeScript developers dove deep into real-world AI concepts — from local GenAI prototyping to building intelligent agents and deploying production-ready apps. Whether you joined from the start or hopped on midway, you built something that matters — and that’s worth celebrating. Replay the Journey No worries if you joined late or want to revisit any part of the journey. The JS AI Build-a-thon was designed to let you learn at your own pace, so whether you're starting now or polishing up your final project, here’s your complete quest map: Build-a-thon set up guide: https://aka.ms/JSAIBuildathonSetup Quest 1: 🔧 Build your first GenAI app locally with GitHub Models 👉🏽 https://aka.ms/JSAIBuildathonQuest1 Quest 2: ☁️ Move your AI prototype to Azure AI Foundry 👉🏽 https://aka.ms/JSAIBuildathonQuest Quest 3: 🎨 Add a chat UI using Vite + Lit 👉🏽 https://aka.ms/JSAIBuildathonQuest3 Quest 4: 📄 Enhance your app with RAG (Chat with Your Data) 👉🏽 https://aka.ms/JSAIBuildathonQuest4 Quest 5: 🧠 Add memory and context to your AI app 👉🏽 https://aka.ms/JSAIBuildathonQuest5 Quest 6: ⚙️ Build your first AI Agent using AI Foundry 👉🏽 https://aka.ms/JSAIBuildathonQuest6 Quest 7: 🧩 Equip your agent with tools from an MCP server 👉🏽 https://aka.ms/JSAIBuildathonQuest7 Quest 8: 💬 Ground your agent with real-time search using Bing 👉🏽 https://aka.ms/JSAIBuildathonQuest8 Quest 9: 🚀 Build a real-world AI project with full-stack templates 👉🏽 https://aka.ms/JSAIBuildathonQuest9 Link to our space in the AI Discord Community: https://aka.ms/JSAIonDiscord Project Submission Guidelines 📌 Quest 9 is where it all comes together. Participants chose a problem, picked a template, customized it, submitted it, and rallied their community for support! 🏅 Claim Your Badge! Whether you completed select quests or went all the way, we celebrate your learning. If you participated in the June 2025 JS AI Build-a-thon, make sure to Submit the Participation Form to receive your participation badge recognizing your commitment to upskilling in AI with JavaScript/ TypeScript. What’s Next? We’re not done. In fact, we’re just getting started. We’re already cooking up JS AI Build-a-thon v2, which will introduce: Running everything locally with Foundry Local Real-world RAG with vector databases Advanced agent patterns with remote MCPs And much more based on your feedback Want to shape what comes next? Drop your ideas in the participation form and in our Discord. In the meantime, add these resources to your JavaScript + AI Dev Pack: 🔗 Microsoft for JavaScript developers 📚 Generative AI for Beginners with JavaScript Wrap-Up This build-a-thon showed what’s possible when developers are empowered to learn by doing. You didn’t just follow tutorials — you shipped features, connected services, and created working AI experiences. We can’t wait to see what you build next. 👉 Bookmark the repo 👉 Join the community on Join the Azure AI Foundry Discord Server! 👉 Stay building Until next time — keep coding, keep shipping!Quest 5 - I want to add conversation memory to my app
In this quest, you’ll explore how to build GenAI apps using a modern JavaScript AI framework, LangChain.js. LangChain.js helps you orchestrate prompts, manage memory, and build multi-step AI workflows all while staying in your favorite language. Using LangChain.js you will make your GenAI chat app feel truly personal by teaching it to remember. In this quest, you’ll upgrade your AI prototype with conversation memory, allowing it to recall previous interactions making the conversation flow more naturally and human-like. 👉 Want to catch up on the full program or grab more quests? https://aka.ms/JSAIBuildathon 💬 Got questions or want to hang with other builders? Join us on Discord — head to the #js-ai-build-a-thon channel. 🔧 What You’ll Build A smarter, context-aware chat backend that: Remembers user conversations across multiple exchanges (e.g., knowing "Terry" after you introduced yourself as Terry) Maintains session-specific memory so each chat thread feels consistent and coherent Uses LangChain.js abstractions to streamline state management. 🚀 What You’ll Need ✅ A GitHub account ✅ Visual Studio Code ✅ Node.js ✅ A working chat app from previous quests (UI + Azure-based chat endpoint) 🛠️ Concepts You’ll Explore Integrating LangChain.js Learn how LangChain.js simplifies building AI-powered web applications by providing a standard interface to connect your backend with Azure’s language models. You’ll see how using this framework decouples your code and unlocks advanced features. Adding Conversation Memory Understand why memory matters in chatbots. Explore how conversation memory lets your app remember previous user messages within each session enabling more context-aware and coherent conversations. Session-based Message History Implement session-specific chat histories using LangChain’s memory modules (ChatMessageHistory and BufferMemory). Each user or session gets its own history, so previous questions and answers inform future responses without manual log management. Seamless State Management Experience how LangChain handles chat logs and memory behind the scenes, freeing you from manually stitching together chat history or juggling context with every prompt. 📖 Bonus Resources to Go Deeper Exploring Generative AI in App Development: LangChain.js and Azure: a video introduction to LangChain.js and how you can build a project with LangChain.js and Azure 🦜️🔗 Langchain: the official LangChain.js documentation. GitHub - Azure-Samples/serverless-chat-langchainjs: Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure: A GitHub sample that helps you build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure GitHub - Azure-Samples/langchainjs-quickstart-demo: Build a generative AI application using LangChain.js, from local to Azure: A GitHub sample that helps you build a generative AI application using LangChain.js, from local to Azure. Microsoft | 🦜️🔗 Langchain Official LangChain documentation on all functionalities related to Microsoft and Microsoft Azure. Quest 4 - I want to connect my AI prototype to external data using RAG | Microsoft Community Hub a link to the previous quest instructions.Quest 4 - I want to connect my AI prototype to external data using RAG
In Quest 4 of the JS AI Build-a-thon, you’ll integrate Retrieval-Augmented Generation (RAG) to give your AI apps access to external data like PDFs. You’ll explore embeddings, vector stores, and how to use the pdf-parse library in JavaScript to build more context-aware apps — with challenges to push you even further.Quest 6 - I want to build an AI Agent
Quest 6 of the JS AI Build-a-thon marks a major milestone — building your first intelligent AI agent using the Azure AI Foundry VS Code extension. In this quest, you’ll design, test, and integrate an agent that can use tools like Bing Search, respond to goals, and adapt in real-time. With updated instructions, real-world workflows, and powerful tooling, this is where your AI app gets truly smart.Quest 7: Create an AI Agent with Tools from an MCP Server
In Quest 7 of the JS AI Build-a-thon, developers explore how to create AI agents that use real tools through the Model Context Protocol (MCP). With the MCP TypeScript SDK and AI Toolkit in VS Code, you’ll connect your agent to a custom MCP server and give it real capabilities, like accessing your system's OS info. This builds on agentic development and introduces tooling practices that reflect how modern AI apps are built.
