DEV Community: karleeov

Top 5 Dev Tools & Tutorials Trending Today (2026-10-07)

karleeov — Wed, 07 Oct 2026 00:46:56 +0000

Mistral Large 4: Enhance Your App with Advanced NLP

What it is:

Mistral Large 4 is an advanced language model designed for natural language understanding and generation tasks. It offers state-of-the-art capabilities for various NLP applications.

Why now:

Released recently, Mistral Large 4 is gaining traction on platforms like Hacker News, where it has garnered 1567 points, indicating significant interest from the developer community.

Tutorial angle:

Learn how to integrate Mistral Large 4 into your application to leverage its powerful NLP features for tasks like text generation, summarization, and more.

Difficulty:

Intermediate

Start today:

git clone https://github.com/mistralai/mistral-large-4.git
cd mistral-large-4
pip install -r requirements.txt

EmbeddingGemma 2: Master Multimodal Data Processing

What it is:

EmbeddingGemma 2 is an open, lightweight multimodal embedding model developed by Google. It is designed to handle diverse data types, making it ideal for complex AI applications.

Why now:

Recently released, EmbeddingGemma 2 is gaining attention on Hacker News with 204 points, highlighting its potential in the field of AI and data processing.

Tutorial angle:

Discover how to use EmbeddingGemma 2 to process and analyze multimodal data, enabling more versatile and powerful AI-driven solutions.

Difficulty:

Intermediate

Start today:

Visit the official EmbeddingGemma 2 repository to get started with the setup guide.

Create Interactive Q&A Pages with answer-me-with-html

What it is:

answer-me-with-html is an AI agent skill that generates readable one-page HTML documents to answer complex questions. It combines AI with web development to create interactive Q&A experiences.

Why now:

Currently trending on GitHub with 1780 stars, this tool is capturing the interest of developers looking for innovative ways to integrate AI into web projects.

Tutorial angle:

Learn how to implement answer-me-with-html in your web projects to create dynamic, AI-driven Q&A pages that enhance user interaction.

Difficulty:

Beginner

Start today:

Check out the answer-me-with-html GitHub repository and follow the installation instructions.

Build and Defend with Stronghold-Protocol

What it is:

Stronghold-Protocol is a non-official, browser-based tower defense game inspired by Arknights. It offers a rich gaming experience directly in your web browser.

Why now:

Recently gaining 831 stars on GitHub, Stronghold-Protocol is attracting attention for its engaging gameplay and browser-based accessibility.

Tutorial angle:

Set up and play Stronghold-Protocol on your browser, and explore its features for an immersive gaming experience.

Difficulty:

Beginner

Start today:

Visit the Stronghold-Protocol GitHub page and click on the "Play Now" link to start the game.

Boost Your Mac's AI Power with backburner

What it is:

backburner is a tool that leverages your iPhone's capabilities to enhance your Mac's AI processing. It enables faster prompt reading and provides more context by utilizing a USB-C connection.

Why now:

Newly appeared on GitHub with 771 stars, backburner offers a novel approach to model processing, making it a noteworthy tool for AI enthusiasts.

Tutorial angle:

Set up and use backburner to boost your Mac's AI capabilities, allowing for more efficient and powerful AI-driven tasks.

Difficulty:

Intermediate

Start today:

brew install backburner
backburner start

Building in public: my lead-gen engine

To curate this list, I used a custom lead-generation engine that aggregates data from various sources, including Hacker News, GitHub, and web searches. The engine filters out recent topics to focus on the most relevant and trending tools.

Aggregated data from multiple sources.
Applied filters to exclude recent topics.
Focused on trending tools with high engagement.
Generated structured outlines for each topic.

Start with this today

If you're looking to dive into a trending tool right away, start with Mistral Large 4. Follow the steps below to set it up in under 5 minutes:

git clone https://github.com/mistralai/mistral-large-4.git
cd mistral-large-4
pip install -r requirements.txt

Picks of the week

Mistral Large 4: For those interested in cutting-edge NLP.
EmbeddingGemma 2: Ideal for multimodal data processing.
answer-me-with-html: Perfect for creating interactive Q&A pages.
Stronghold-Protocol: For gamers looking for a new browser-based experience.
backburner: Enhance your Mac's AI capabilities with your iPhone.

What tool are you most excited to try out? Share your thoughts in the comments!

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
Subscribe to weekly HK tech posts → studio.resurrects.co/blog (one email a week, no spam)

Today's Top Dev Tools & Tutorials: Azure AI Foundry, .NET 10, and More

karleeov — Tue, 06 Oct 2026 00:46:54 +0000

1. Azure AI Foundry's AI Model Management

What it is: Azure AI Foundry now offers enhanced tools for deploying and managing multiple AI models seamlessly within Azure.

Why now: On 2026-09-30, Azure AI Foundry introduced new AI model management capabilities, improving deployment and integration with Azure Machine Learning.

Tutorial angle: Learn how to deploy and manage multiple AI models using Azure AI Foundry's updated tools.

Difficulty: Intermediate

Start today:

az login
az ai foundry model list --output table

This command logs you into Azure and lists available AI models in your account.

2. Azure Container Apps & AKS Integration

What it is: Enhanced integration between Azure Container Apps and Azure Kubernetes Service (AKS) for easier container orchestration.

Why now: New features for automatic scaling and load balancing were released on 2026-09-28.

Tutorial angle: Discover how to set up and leverage automatic scaling and load balancing with Azure Container Apps and AKS.

Difficulty: Intermediate

Start today:

az extension add --name containerapp
az containerapp up --name your-app-name --source .

This installs the Azure Container Apps extension and deploys your app using the current directory as the source.

3. .NET 10's Enhanced APIs

What it is: The latest version of .NET includes new APIs for improved performance and developer productivity.

Why now: Released on 2026-09-29, .NET 10 offers enhancements for cloud-native applications and better Azure integration.

Tutorial angle: Learn how to use .NET 10's new APIs to build high-performance, cloud-native applications.

Difficulty: Intermediate

Start today:

dotnet new webapi -n MyDotNet10App
cd MyDotNet10App
dotnet run

This creates and runs a new .NET 10 Web API project.

4. GitHub Copilot Studio's AI-Powered Code Generation

What it is: AI-driven code generation for complex scenarios, integrated with Azure AI Foundry.

Why now: On 2026-09-26, Copilot Studio introduced AI-powered code generation, enhancing team-based development.

Tutorial angle: Discover how to use Copilot Studio's AI for complex coding tasks and team collaboration.

Difficulty: Beginner

Start today:

curl -s https://api.github.com/repos/github/copilot-cli/releases/latest | grep "browser_download_url" | grep "copilot-linux"

This fetches the latest Copilot CLI download URL for Linux.

5. Microsoft Fabric's AI-Driven Data Analytics

What it is: Enhanced data analytics with AI-driven insights and improved Azure service integration.

Why now: New AI-driven insights and integrations with Azure Data Lake and Azure Synapse were announced on 2026-09-25.

Tutorial angle: Learn how to leverage Microsoft Fabric's AI-driven analytics for better data management and insights.

Difficulty: Intermediate

Start today:

az synapse workspace list --output table

This lists available Azure Synapse workspaces in your account.

Building in public: my lead-gen engine

I've developed a custom AI-powered tool that aggregates and analyzes the latest dev tool updates from various sources, including Azure blogs, GitHub releases, and more. It identifies trending tools and generates actionable tutorial outlines.

Key features:
- Real-time data aggregation
- AI-driven trend analysis
- Custom tutorial outline generation
- Integration with Azure AI Foundry

Start with this today

If you're looking to dive into AI model management with Azure AI Foundry, start by logging into your Azure account and listing available AI models:

az login
az ai foundry model list --output table

Picks of the week

Tool: Azure AI Foundry
Blog post: Master AI Model Management with Azure AI Foundry
Tip: Use the Azure AI Foundry dashboard to deploy and manage your AI models efficiently.

Question for readers

What AI tools are you currently using, and how do you manage their deployment and scaling? Share your experiences and tips in the comments!

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
Subscribe to weekly HK tech posts → studio.resurrects.co/blog (one email a week, no spam)

Top New Dev Tools: Automate Workflows, Mod Games, and More

karleeov — Mon, 05 Oct 2026 00:45:40 +0000

1. Automate Your Workflow with OpenDots

What it is: OpenDots is an AI-powered tool that integrates with text, calls, and Slack to automate your daily tasks.

Why now: Released on 2026-09-29, OpenDots has quickly gained popularity with 3201 stars on GitHub, indicating strong community interest.

Tutorial angle: This tutorial will guide you through setting up and integrating OpenDots into your workflow to automate tasks across multiple platforms.

Difficulty: Intermediate

Start today:

git clone https://github.com/CopilotKit/OpenDots.git
cd OpenDots
npm install

2. Mod Your PC Games with Claude AI using Universal-Modder

What it is: Universal-Modder is a tool that leverages Claude AI to mod almost any PC game you own.

Why now: Launched on 2026-09-30, it has rapidly amassed 3184 stars on GitHub, showcasing its potential in the gaming community.

Tutorial angle: Learn how to use Universal-Modder to customize and enhance your favorite PC games with AI-driven modifications.

Difficulty: Intermediate

Start today:

git clone https://github.com/rehan-remade/universal-modder.git
cd universal-modder
pip install -r requirements.txt

3. Deploy Your Own AI-Powered Browser with feder-cr/dots

What it is: Feder-cr/dots is an open-source AI agent with its own browser designed to perform web automation and browsing tasks without being blocked.

Why now: Released on 2026-09-29, it has already garnered 2601 stars on GitHub, highlighting its utility in web automation.

Tutorial angle: This guide will show you how to deploy and use feder-cr/dots for various web automation tasks.

Difficulty: Intermediate

Start today:

git clone https://github.com/feder-cr/dots.git
cd dots
./setup.sh

4. Refine AI-Generated Japanese with yomiyasu

What it is: Yomiyasu is an AI agent that refines AI-generated Japanese text into more natural and coherent Japanese.

Why now: Released on 2026-09-30, it has 1391 stars on GitHub, reflecting its importance in improving AI-generated content.

Tutorial angle: Follow this step-by-step guide to enhance the quality of AI-generated Japanese text using yomiyasu.

Difficulty: Beginner

Start today:

pip install yomiyasu
yomiyasu --input "your_ai_generated_text.txt" --output "refined_text.txt"

5. Create Stunning 3D Floor Plans with wy51ai/floorplan-3d

What it is: Wy51ai/floorplan-3d is a tool for creating detailed 3D floor plans.

Why now: Released on 2026-09-29, it has 1388 stars on GitHub, indicating its growing adoption in architecture and design.

Tutorial angle: This tutorial will teach you how to use wy51ai/floorplan-3d to design and visualize 3D floor plans.

Difficulty: Intermediate

Start today:

git clone https://github.com/wy51ai/floorplan-3d.git
cd floorplan-3d
./run.sh

Building in public: my lead-gen engine

In this post, I've summarized the top trending dev tools from recent GitHub releases and Hacker News discussions. My lead-gen engine focuses on identifying tools with rapid star growth and high relevance to current developer needs.

Tools selected based on GitHub stars and release date.
Focus on tools with clear use cases and growing community interest.
Tutorials designed to provide immediate value and practical steps.

Start with this today

If you're looking to automate your workflow, start with OpenDots:

git clone https://github.com/CopilotKit/OpenDots.git
cd OpenDots
npm install

Picks of the week

Tool: OpenDots
Tool: Universal-Modder

What new tools are you most excited about? Share your thoughts in the comments!

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
Subscribe to weekly HK tech posts → studio.resurrects.co/blog (one email a week, no spam)

Top Dev Tools & Tutorials: Azure AI, GitHub Copilot Studio, Bicep 2.0, and More

karleeov — Sun, 04 Oct 2026 00:47:08 +0000

Top Dev Tools & Tutorials: October 4, 2026

Stay ahead of the curve with the latest tools and tutorials shaping the developer landscape.

1. Azure AI Foundry's AI Model Training Accelerators

What it is:

Azure AI Foundry has introduced AI model training accelerators designed to speed up AI model training by up to 30% and improve multi-modal AI model integration with Azure Cognitive Services.

Why now:

Released on 2026-09-28, these accelerators offer significant reductions in training time and enhanced support for multi-modal AI, as detailed in the Azure Blog.

Tutorial angle:

Learn how to set up and use the new accelerators to accelerate training for multi-modal AI models and integrate them with Azure Cognitive Services.

Difficulty:

Intermediate

Start today:

Log into the Azure Portal and navigate to Azure AI Foundry to explore the new training accelerators.

2. GitHub Copilot Studio's Collaborative AI Code Features

What it is:

GitHub Copilot Studio now includes collaborative features that allow developers to share and review AI-generated code suggestions as a team.

Why now:

Launched on 2026-09-26, this update expands on AI-driven code generation with new collaborative capabilities, as announced in the GitHub Blog.

Tutorial angle:

Discover how to use these features to facilitate team code reviews and enhance collaboration on AI-generated code.

Difficulty:

Beginner

Start today:

Install GitHub Copilot Studio and start a collaborative session by following the official guide.

3. Bicep 2.0's Enhanced Language Features

What it is:

Bicep 2.0, the latest version of the Infrastructure as Code (IaC) language for Azure, introduces improved syntax for defining complex resource dependencies.

Why now:

Released on 2026-09-24, Bicep 2.0 offers new language features and better tooling support, as detailed in the Azure Bicep GitHub release.

Tutorial angle:

Learn how to use the new syntax to define and deploy complex resource dependencies in Bicep scripts.

Difficulty:

Intermediate

Start today:

Upgrade to Bicep 2.0 using the command az bicep upgrade and explore the new features in your IaC scripts.

4. VS Code AI-Powered Extensions

What it is:

A suite of AI-driven extensions for VS Code that enhance code completion, debugging, and testing capabilities.

Why now:

Introduced on 2026-09-23, these extensions leverage AI to boost coding efficiency and productivity, as highlighted in the VS Code Blog.

Tutorial angle:

Find out how to install and use these extensions to improve your coding workflow.

Difficulty:

Beginner

Start today:

Install the AI-Powered Extensions pack from the VS Code Marketplace and start using AI to enhance your coding.

5. Microsoft Agent Framework's Conversational Agent APIs

What it is:

New APIs for building conversational agents with enhanced natural language understanding and integration with Microsoft 365 services.

Why now:

Updated on 2026-09-29, these APIs offer improved integration and natural language capabilities, as detailed on the Microsoft Developer Network.

Tutorial angle:

Learn how to use the new APIs to create intelligent conversational agents that interact with Microsoft 365 applications and data.

Difficulty:

Intermediate

Start today:

Visit the Microsoft Agent Framework documentation to get started with the new APIs.

Building in public: my lead-gen engine

This post is powered by a custom lead-generation engine that aggregates data from various sources, including Azure updates, GitHub releases, and community forums. The engine prioritizes tools and tutorials based on recent releases and community interest.

Data Sources: Azure Blog, GitHub Releases, VS Code Blog, Microsoft Developer Network, and Hacker News.
Exclusions: Recent topics covered in the last 17 days are excluded to ensure freshness.
Output: Structured outlines for each tool, including what it is, why now, tutorial angle, difficulty, and a concrete first action.

Start with this today

Try out Azure AI Foundry's AI Model Training Accelerators:

Log into the Azure Portal.
Navigate to Azure AI Foundry.
Explore the new training accelerators and start a test run with your AI model.

Picks of the week

Tool: Bicep 2.0 Upgrade your IaC game with enhanced syntax for complex resource dependencies.
Extension: VS Code AI-Powered Extensions Boost your coding efficiency with AI-driven code completion and debugging.

Question for readers: What new tools or features are you most excited about this week, and how do you plan to integrate them into your workflow?

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
Subscribe to weekly HK tech posts → studio.resurrects.co/blog (one email a week, no spam)

The Maya story + SafePlate's six features, home screenshot

karleeov — Sat, 03 Oct 2026 02:30:38 +0000

My friend Maya has peanut, tree-nut, and sesame allergies. Every group dinner starts the same way: her squinting at

ingredient lists, googling "does pesto have nuts" (it does — pine nuts), and quietly eating plain rice while everyone else

shares satay.

So I built her SafePlate — an allergy-aware meal planner that reads every ingredient of every recipe for her:

🥜 Her profile, not a generic one — name, allergies, and how strict to be ("Sensitive" vs "Severe: flag every trace").
🍽️ A verdict on every recipe — All clear, Worth a closer look, or Not safe for Maya — with the exact ingredient that triggered it and why.
🕵️ It catches the hidden ones — pesto → pine nuts, Worcestershire sauce → anchovies, marzipan → almonds, tahini → sesame, green curry paste → shrimp paste.
🔁 Every flag comes with a swap — peanut sauce → sunflower seed butter, tahini → sunflower seed butter + lemon.
🏷️ "Check anything" scanner — paste any ingredient list (a sauce label, a snack bar) and it flags what's risky for her.
🗓️ One-click week planner — a full week of safe plates, saved locally on her device.

## Demo

👉 Live demo: https://karleeov-dev-hack.kimi.page

It's fully shareable by URL, which makes for a fun try-it-yourself:

https://karleeov-dev-hack.kimi.page?friend=Maya&allergens=peanut,tree-nut,sesame — pre-loaded profile
https://karleeov-dev-hack.kimi.page?scan=nutella%20spread,%20tahini%20drizzle,%20oat%20milk,%20eggplant,%20honey%20roasted %20peanuts,%20rice%20crackers — auto-runs the scanner on a tricky list. Three of those are dangerous for Maya; three only sound dangerous.

First visit downloads the model (~23 MB); after that it's cached and the whole app works offline.

## Code

karleeov / Maya

https://github.com/karleeov/Maya

No build step, no framework — index.html, app.js, recipes.js, styles.css. The phrasebook, veto table, and swap

list in recipes.js are plain readable data, so adapting SafePlate for a different allergy set means editing a list, not a
model.

## How I Built It

The core is all-MiniLM-L6-v2, an open-weight sentence-embedding model (Apache-2.0), running entirely in the

browser through transformers.js + ONNX Runtime Web. Ingredients and allergen profiles become 384-dimensional vectors;

cosine similarity is what knows marzipan lives suspiciously close to almonds.

But here's the honest part: embeddings alone were too noisy to trust with someone's health. I validated the scorer

offline against the exact quantized ONNX build the browser ships, and the false-positive ceiling was brutal — rice noodles → egg scored 0.80 (because "egg noodles" exist), tomato sauce → fish hit 0.76, butter → tree nuts 0.74. Pure semantic

search would have cried wolf about pancakes and stayed quiet about satay.

So SafePlate is a hybrid:

A curated, word-boundary-aware phrasebook per allergen carries precision — it knows eggplant ≠ egg and buttermilk ≠ butter.
The embedding layer rides shotgun — powering the "semantically close to X (matched term)" explanations, catching long-tail phrasings, and driving the caution tier.
A small veto table encodes domain truth the model can't know: coconut milk isn't dairy, oat milk is fine, peanut butter contains no butter.
Severity modes shift the thresholds, because "sensitive" and "anaphylactic" are not the same product. In Severe mode it still raises coconut as a tree-nut caution (the FDA lists it as one) — I'd rather explain a false alarm to Maya than apologize for a missed one.

The model downloads from the Hugging Face hub (with a mirror fallback), caches in the browser, and after that the app —

model included — runs with the Wi-Fi off.

t asking anyone's permission.

Hackable. If her little cousin has a different allergy set, we edit a data list — not a billing plan.

The honest trade-off: a small open model is dumber than a frontier closed one. That's why the architecture is hybrid —

the open model does what it's good at (semantics, explanations, long-tail matching) and boring curated data does what it's

good at (precision). Open source didn't lower the ceiling; it changed where I put the walls.

Top 5 Trending Azure and Dev Tools of October 2026

karleeov — Thu, 01 Oct 2026 00:47:12 +0000


## Azure AI Foundry's AI Model Marketplace

### What it is
Azure AI Foundry's AI Model Marketplace is a new platform for deploying and managing pre-trained AI models across various industries, including healthcare and finance.

### Why now
Launched on 2026-09-26, the AI Model Marketplace integrates seamlessly with Azure AI services, offering a streamlined experience for training and deploying AI models.

### Tutorial angle
Learn how to deploy a pre-trained healthcare model from the AI Model Marketplace and integrate it with an Azure Function for real-time inference.

### Difficulty
Intermediate

### **Start today:**
1. Log in to your [Azure Portal](https://portal.azure.com/).
2. Navigate to the AI Foundry section and access the Model Marketplace.
3. Browse and select a pre-trained healthcare model.
4. Click "Deploy" and follow the prompts to deploy the model to your Azure subscription.

---

## Bicep 2.0 for Azure Resource Management

### What it is
Bicep 2.0 is a domain-specific language for deploying and managing Azure resources using Infrastructure as Code (IaC), offering enhanced syntax, support, and validation.

### Why now
Released on 2026-09-29, Bicep 2.0 introduces significant improvements in syntax, better support for Azure resource types, and advanced validation and error reporting.

### Tutorial angle
Master writing and deploying Azure resources using Bicep 2.0's new syntax and features.

### Difficulty
Intermediate

### **Start today:**
1. Install the Bicep CLI by running:

bash
az bicep install

2. Verify the installation with:

bash
az bicep version


---

## VS Code Azure Extensions Update

### What it is
The VS Code Azure Extensions have been updated with new AI extensions, enhanced Azure CLI integration, and improved debugging and profiling tools for Azure applications.

### Why now
The update on 2026-09-23 brings AI-driven enhancements and better integration, making Azure development more efficient.

### Tutorial angle
Discover how to use the new AI extensions in VS Code to streamline your Azure development tasks.

### Difficulty
Beginner

### **Start today:**
1. Open VS Code.
2. Go to the Extensions panel and search for "Azure".
3. Install the latest Azure Extensions update.

---

## Microsoft Agent Framework 2.0

### What it is
Microsoft Agent Framework 2.0 is designed for building intelligent agents with advanced natural language capabilities and seamless integration with Azure Cognitive Services.

### Why now
Released on 2026-09-24, this version introduces new agent templates, enhanced natural language processing, and improved Azure service integration.

### Tutorial angle
Create a chatbot using the new agent templates and integrate it with Azure Cognitive Services for advanced features.

### Difficulty
Intermediate

### **Start today:**
1. Visit the [Microsoft Agent Framework Documentation](https://docs.microsoft.com/microsoft-agent-framework).
2. Follow the Quickstart guide to set up your first intelligent agent.

---

## GitHub Copilot Studio Preview

### What it is
GitHub Copilot Studio is an AI-driven development environment for team collaboration, featuring advanced code review and project management tools.

### Why now
The Preview release on 2026-09-27 offers AI-generated feedback, suggestions, and new project management capabilities.

### Tutorial angle
Set up and use GitHub Copilot Studio for AI-powered code reviews and team collaboration.

### Difficulty
Intermediate

### **Start today:**
1. Sign up for the [GitHub Copilot Studio Preview](https://github.com/features/copilot-studio).
2. Follow the onboarding instructions to integrate it into your development workflow.

---

## Building in public: my lead-gen engine

To curate this report, I used a combination of AI-driven research tools, web searches, and data from platforms like Hacker News, GitHub, and custom scripts. Here's a quick summary:

- **Tools**: MiniMax AI, web search APIs, GitHub API, and custom crawling scripts.
- **Focus**: Azure-related tools and updates.
- **Process**: Automated data collection, filtering, and prioritization based on engagement metrics.

- **Key steps**:
  - Collect trending topics from multiple sources.
  - Filter out recent topics to ensure freshness.
  - Prioritize based on engagement and relevance.

---

## Start with this today
For a quick start, I recommend trying out **Bicep 2.0**. Install the Bicep CLI with the following command:

bash
az bicep install

Then, verify the installation by running:

bash
az bicep version



This will set you up to start writing and deploying Azure resources using the powerful features of Bicep 2.0.

---

## Picks of the week
- **Tool**: GitHub Copilot Studio Preview
- **Resource**: [Azure AI Foundry Documentation](https://azure.microsoft.com/documentation/articles/ai-foundry-model-marketplace)
- **Community**: [Microsoft Developer Blog](https://devblogs.microsoft.com/)

What are your thoughts on the new AI-driven tools for developers? Share your experiences in the comments below!

---

#### Connect

If this kind of post is useful, the easiest way to support the work is to:
- **Star / follow** on [dev.to](https://dev.to/karleeov) (you're already here 🙂)
- **Follow on X**: [@devkingov](https://x.com/devkingov)
- **Reach out for HK-based dev work** — .NET / Azure / system integration / IT security: [studio.resurrects.co](https://studio.resurrects.co) or email [devkingov@gmail.com](mailto:devkingov@gmail.com)
- **Subscribe to weekly HK tech posts** → [studio.resurrects.co/blog](https://studio.resurrects.co/blog) (one email a week, no spam)

5 Microsoft Tutorials: Copilot Model Swapping, DeepSeek on Azure, Rust, .NET 10 RC, AI Agents

karleeov — Sun, 13 Sep 2026 13:03:06 +0000

This week's Microsoft-ecosystem signal splits into two buckets: AI plumbing you can wire up in an afternoon (model routing, serving open-weight models, agents), and platform shifts with long shelf life (Rust going tier-1, .NET 10 RC). Here are the five tutorials that came out of the research, each with a five-minute first action.

1. Hot-swap the model behind Copilot Chat with routeVSCODE

What it is: An open-source VS Code companion that runs a local proxy (9Router) so you can swap the AI model behind Copilot Chat mid-conversation — no editor reload, no restart.

Why now: The repo was created on 2026-09-10 and already sits at 327 stars in this week's GitHub new-repo crawl. It's the fastest-moving brand-new repo in the signal.

Tutorial angle: Clone the repo, start the 9Router proxy, point Copilot Chat at the local endpoint, add two provider configs, then switch models mid-conversation and confirm in the router logs which model actually answered. The verification step matters — it's the difference between "I think it switched" and proof.

Difficulty: Beginner

Start today: git clone https://github.com/9router/routevscode.git and read the README end to end — the tool is small enough to fully understand in five minutes.

One caveat: the repo is two days old and it proxies Copilot Chat traffic. Skim the README carefully and check the Copilot terms before pointing a work machine at it.

2. Serve DeepSeek v4.1 Flash on Azure with AI Foundry

What it is: AI Foundry is Microsoft's managed platform for deploying AI models — including open-weight ones like DeepSeek — behind a single secured endpoint.

Why now: DeepSeek v4.1 Flash launched this week and pulled 993 points and 565 comments on Hacker News. AI Foundry's model catalog is the fastest Azure-native way to serve it, and the Foundry "What's new" page confirms the newest releases land there first.

Tutorial angle: Create an AI Foundry project in the portal, find the newest DeepSeek release in the model catalog (or any fresh open-weight model if it hasn't reached your region), deploy to a serverless endpoint, and call it from a ~20-line script with the Azure AI SDK. Serverless means no GPU quota to manage and per-token billing.

Difficulty: Beginner

Start today: Open https://ai-foundry.azure.com, go to Model catalog, and search "DeepSeek" to see what's actually available in your region.

3. Rust on Windows: rustup, rust-analyzer, and the `windows` crate

What it is: The standard Rust toolchain — rustup, cargo, and rust-analyzer in VS Code — set up for building Windows apps that call native Windows APIs.

Why now: "Rust is a tier-1 language at Microsoft" hit 717 points and 501 comments on Hacker News this week (rustfoundation.org). It's the biggest Microsoft dev-platform story in the signal, and it moves Rust-on-Windows from experiment to expectation.

Tutorial angle: Install rustup on Windows, wire rust-analyzer into VS Code, scaffold a cargo project, and call a native Windows API through the windows crate — a first Rust-on-Windows app in under 10 minutes.

Difficulty: Intermediate

Start today: winget install Rustlang.Rustup — one command gets you rustup, cargo, and the default MSVC toolchain target, with the installer walking you through the rest.

4. Try .NET 10 RC without breaking your setup

What it is: The release candidate of the next major .NET version, installable side-by-side with your current SDK for early testing before the November GA.

Why now: .NET majors ship every November, and early September is exactly the RC-announcement window (dotnet blog / dotnet/core releases). Starting now buys you two months of soak time before GA.

Tutorial angle: The safe RC workflow: install the RC SDK side-by-side, pin existing projects with global.json so nothing silently retargets, retarget one real app with upgrade-assist, and smoke-test it end to end.

Difficulty: Intermediate

Start today: winget install Microsoft.DotNet.SDK.Preview, then run dotnet --list-sdks — you should see the RC listed next to your stable SDK while your existing projects keep building against the old one.

5. Build your first AI agent in C# with Microsoft Agent Framework

What it is: Microsoft's SDK for building production AI agents and multi-agent workflows in .NET and Python.

Why now: Agent tooling dominated this week's GitHub trending — anything2explainer (934★), dream-loop (850★), screenwriting-skills (748★) — and dev.to's top AI article this week is about agent workflows. Meanwhile, microsoft/agent-framework keeps shipping on a frequent release cadence.

Tutorial angle: Scaffold a new agent project, register a custom tool, connect it to a model endpoint (Azure OpenAI or Foundry), run it in the debugger, and inspect the tool-call trace to see how the agent decides when to call your tool. That trace is where most "my agent is dumb" debugging actually happens.

Difficulty: Intermediate

Start today: dotnet new install Microsoft.AgentFramework.Templates (Python folks: pip install agent-framework).

Start with this today

If you only do one thing from this post, do the Foundry catalog check. It costs nothing, installs nothing, and answers a question every shop is asking right now:

Open https://ai-foundry.azure.com and sign in.
Click Model catalog, search DeepSeek.
If v4.1 Flash shows up in your region, hit Deploy and pick the serverless option.

That's the whole five minutes, and step 3 leaves you with an HTTPS endpoint you can call from anything — run pip install azure-ai-inference while it provisions and you're one short script from your first completion.

Picks of the week

Best weekend hack: routeVSCODE — a two-day-old repo that swaps models mid-conversation and shows you in the logs which one actually answered.
Best career move: Rust on Windows. Tier-1 at Microsoft doesn't mean rewriting everything; it means the windows crate is a safe bet for the next decade.
Best prep work: .NET 10 RC behind a global.json pin. Two months of soak time before November GA is free bug-finding.

Question for readers: which of these are you trying this weekend — and if you've already put a proxy in front of Copilot Chat, did the logs ever show a different model answering than you expected? Tell me in the comments.

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
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Top 5 Microsoft-Ecosystem Dev Tools & Tutorials This Week

karleeov — Sun, 13 Sep 2026 13:02:54 +0000

1. Lean 4 + VS Code — Verify OpenAI’s Navier–Stokes Proofs

What it is

Microsoft Research's Lean 4 is a powerful proof assistant used for formal verification. OpenAI recently open-sourced its Lean certificates for the Navier–Stokes and Euler equations.

Why now

OpenAI’s release has sparked significant interest, with the repository gaining over 1,800 stars in less than five days. The ClayMath announcement and related discussions on Hacker News have fueled the momentum.

Tutorial angle

Learn how to install Lean 4, clone the OpenAI repository, and use VS Code’s Infoview to inspect and verify the proofs step by step.

Difficulty

Intermediate

Start today:

# Install elan (Lean’s toolchain manager)
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh

2. DeepSeek v4.1 Flash on Azure AI Foundry

What it is

DeepSeek v4.1 Flash is an open-weight "flash" model now deployable on Azure AI Foundry, enabling high-performance AI inference.

Why now

The recent launch of DeepSeek v4.1 Flash garnered significant attention on Hacker News, and the release of DeepSelect kernels has further fueled interest in the model’s capabilities.

Tutorial angle

Deploy the DeepSeek v4.1 Flash model on Azure AI Foundry and create a simple application to interact with it using the azure-ai-inference SDK.

Difficulty

Intermediate

Start today:

# Explore Azure AI Foundry model catalog
https://azure.microsoft.com/en-us/services/ai-foundation/models/

3. GitHub Copilot Chat + OpenRouter (Bring Your Own Key)

What it is

The latest update to GitHub Copilot Chat allows you to integrate any model powered by OpenRouter using your own API key, enabling more personalized AI assistance.

Why now

The surge in discussions on Hacker News about OpenRouter and its integration with Copilot Chat highlights the growing interest in customizable AI models.

Tutorial angle

Learn how to set up and configure OpenRouter within Copilot Chat, enabling seamless access to a variety of AI models directly within VS Code.

Difficulty

Beginner

Start today:

# Open VS Code and install the latest Copilot Chat extension
# Then, go to Model Picker > Manage Models and add your OpenRouter key

4. Rust → Azure Container Apps

What it is

Microsoft has officially designated Rust as a tier-1 language, and this tutorial guides you through deploying a Rust web service using axum to Azure Container Apps.

Why now

Recent discussions on Hacker News about Rust’s growing importance at Microsoft and the stabilization of Rust’s Never Type have highlighted its increasing adoption within the tech giant.

Tutorial angle

Create a Rust web service using axum, set up the development environment in VS Code, and deploy it to Azure Container Apps with a public HTTPS endpoint and autoscaling.

Difficulty

Intermediate

Start today:

# Create a new Rust axum project
cargo new my_axum_service
cd my_axum_service
# Initialize the project and deploy to Azure Container Apps
az containerapp up --source .

5. C# `async`/`await`, Properly Explained

What it is

A comprehensive guide to understanding the async/await pattern in C#, the language where it was first introduced.

Why now

A recent design space exploration of async/await on Hacker News provides a timely opportunity to revisit this fundamental feature of C#.

Tutorial angle

Step through the evolution of a simple API endpoint from synchronous to asynchronous, using the debugger to illustrate thread management and the ConfigureAwait behavior.

Difficulty

Beginner

Start today:

// Rewrite a simple synchronous method to async
public async Task<string> GetDataAsync()
{
    return await Task.FromResult("Hello, async!");
}

Building in public: my lead-gen engine

This post was generated using a custom lead-generation engine that analyzed recent trends on platforms like Hacker News, GitHub, and web searches. The process involved:

Scanning for trending topics and repositories.
Identifying relevant tutorials and guides.
Curating a list of the most promising and timely topics.
Structuring the content into actionable, beginner-friendly tutorials.

Key steps:

Data collection: Gathered from HN, GitHub, and web searches.
Trend analysis: Focused on repositories and topics with recent spikes in activity.
Content creation: Developed tutorials with clear, actionable steps.

Start with this today

If you’re looking to dive into AI model deployment, start with the DeepSeek v4.1 Flash on Azure AI Foundry by exploring the Azure AI Foundry model catalog.

Picks of the week

Most impactful: Lean 4 + VS Code for proof verification.
Most accessible: GitHub Copilot Chat + OpenRouter.
Most innovative: Rust on Azure Container Apps.

Question for readers

Which of these tutorials are you most interested in trying out? Let us know in the comments!

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
Subscribe to weekly HK tech posts → studio.resurrects.co/blog (one email a week, no spam)

Rust Is Tier-1 at Microsoft — 5 Azure-Ecosystem Picks for the Week of Sept 12, 2026

karleeov — Fri, 11 Sep 2026 16:07:40 +0000

This week's Microsoft-ecosystem signal was dominated by one announcement: Rust is now a tier-1 language at Microsoft. But it wasn't alone — open-weight models, agent frameworks, and model-gateway tooling all trended hard across Hacker News, GitHub, and dev.to. Here are the five picks that matter, each with a first step you can finish in under five minutes.

1. Rust — now tier-1 at Microsoft

What it is: Rust with first-class, officially supported tooling across Windows, Visual Studio/VS Code, and the Azure SDK. Tier-1 means supported, not experimental.

Why now: The rustfoundation.org guest post announcing tier-1 status hit 710 points / 481 comments on Hacker News this week — the highest-ranked Microsoft-ecosystem item in the entire signal. That's not idle curiosity; that's developers re-deciding what language their next Windows service goes in.

Tutorial angle: Zero-to-binary on Windows: install rustup via winget, wire up VS Code with rust-analyzer, cargo new, call a native Windows API with the windows crate, then tease the official Azure SDK for Rust (Blob Storage / Azure OpenAI). The full path from cargo new to an Azure call is maybe 20 minutes.

Difficulty: Beginner

Start today: Run winget install Rustlang.Rustup (the installer links you to the Visual Studio C++ workload if you're missing build tools), then open a fresh terminal and run rustc --version. If it prints, you're in.

2. routeVSCODE (9Router) — hot-swap models in Copilot Chat

What it is: A community-built local proxy that lets VS Code's Copilot Chat switch AI models mid-conversation with zero reloads.

Why now: The repo (yudaprasetya007/routeVSCODE) was created 2026-09-10 and already sits at 327 stars on GitHub's trending-new list — two days old and riding a very real frustration with the default model-picker workflow.

Tutorial angle: Install the proxy, point Copilot Chat at the local endpoint, then switch models live mid-thread and compare before/after against the default picker. One caveat worth repeating in any tutorial: this is unofficial tooling that routes Copilot traffic through a local proxy — check your org's policy before using it on work code.

Difficulty: Intermediate

Start today: Run git clone https://github.com/yudaprasetya007/routeVSCODE and read the README end to end, proxy setup included, before pointing any Copilot traffic at it.

3. Foundry Local — open-weight models on your own hardware

What it is: Microsoft's CLI-driven local runtime for serving open-weight LLMs on your own machine, behind an OpenAI-compatible endpoint.

Why now: Open-weight models are the week's biggest story — DeepSeek v4.1 Flash at 980 points / 558 comments on HN and Mistral's €3B open-weight raise at 844 points. Foundry Local is the Microsoft-native way to run that class of model without a cloud bill.

Tutorial angle: Install the foundry CLI, run foundry model list, download and serve a model, then hit the localhost OpenAI-compatible endpoint from a small .NET console app — or point Copilot Chat at it. Natural follow-up: promote the same model to Azure AI Foundry when you need scale.

Difficulty: Beginner

Start today: Run winget install Microsoft.FoundryLocal-CLI, then run foundry model list to see exactly which models your hardware can serve.

4. Microsoft Agent Framework — the Semantic Kernel + AutoGen successor

What it is: Microsoft's unified .NET/Python framework for building AI agents and workflows — the successor that merged Semantic Kernel and AutoGen.

Why now: Agents dominated the week: OpenAI's Agents API docs front-paged HN at 316 points, and dev.to's #ai feed is wall-to-wall agent pain ("My Agents Never Get Tired. I Do" — 20 reactions; "Did I Build a Worse LangGraph?" — 2). The .NET-native answer to that pain deserves a proper primer.

Tutorial angle: dotnet new console, add the Agent Framework packages, register one real tool (list your Azure Storage containers via the Azure SDK), and run the agent loop in a terminal backed by a GitHub Models endpoint. One real tool beats five fake ones for teaching the loop.

Difficulty: Intermediate

Start today: Run dotnet new console -o first-agent && cd first-agent && dotnet add package Microsoft.Agents.Core — from there you're one class away from a running agent loop.

5. GitHub Models — the free model gateway you already have

What it is: GitHub's built-in model gateway: a playground plus inference API for frontier and open models, free with your GitHub account and wired straight into Copilot Chat.

Why now: "So you want to use OpenRouter?" trended at 452 points on HN — multi-model single-endpoint access is the flavor of the month, and most developers already have the Microsoft equivalent sitting unused in their GitHub account.

Tutorial angle: Enable GitHub Models, switch models from inside VS Code's Copilot Chat model picker, then call the same model from a script using a personal access token against the GitHub Models inference endpoint. The "same model, playground to code" continuity is the hook.

Difficulty: Beginner

Start today: Open https://github.com/marketplace/models, sign in with your GitHub account, and send one prompt to any model in the playground. No install, no credit card.

Start with this today

If you only do one thing from this list, do GitHub Models — it's the only pick with zero install and zero cost:

Open https://github.com/marketplace/models
Sign in with your existing GitHub account
Pick any model and send it a prompt in the playground
Open VS Code, start a Copilot Chat, and switch models from the model picker

That's the whole loop — playground to editor to (next) inference API — in under five minutes. Once you've felt the model-switching workflow, the Foundry Local install is the natural next step for when you want those same models on your own hardware.

Picks of the week

The HN thread on Rust tier-1 (rustfoundation.org guest post) — 481 comments, and the comment section is where you learn what "tier-1" actually commits Microsoft to.
DeepSeek v4.1 Flash — the release that made local runtimes like Foundry Local suddenly practical.
"So you want to use OpenRouter?" (HN, 452 pts) — required reading before you pay for a gateway you may already have.

Question for you: now that Rust is tier-1 at Microsoft, does that change what you'd reach for on your next Windows service — or is C# still the default until the ecosystem catches up? Tell me in the comments.

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
Reach out for HK-based dev work — .NET / Azure / system integration / IT security: studio.resurrects.co or email devkingov@gmail.com
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Build Your Own Copilot-Style Assistant on Azure OpenAI (.NET)

karleeov — Fri, 11 Sep 2026 10:34:53 +0000

GitHub Copilot chat feels like magic, but under the hood it's three things: a system prompt, context (your code, your repo), and a model. You can build the same stack yourself on Azure OpenAI — with your own data, your own guardrails, and billing under your control. Here's the whole thing in .NET.

Step 1 — Azure OpenAI resource + deployment

In the Azure Portal: create an Azure OpenAI resource, then in Azure AI Foundry deploy a model (e.g. gpt-4o-mini for cheap dev work, gpt-4o/gpt-5-class for harder reasoning). Two values matter:

Endpoint:        https://<your-resource>.openai.azure.com/
API key:         found under "Keys and Endpoint"
Deployment name: the name YOU gave the deployment (e.g. "gpt-4o-mini")

🔒 DevKing rule: the API key goes in AZURE_OPENAI_API_KEY env var — never in source, never in git.

Step 2 — The chat loop (Azure.AI.OpenAI SDK)

dotnet add package Azure.AI.OpenAI

The official SDK now wraps the OpenAI .NET client, so the code is pleasantly short:

using Azure;
using Azure.AI.OpenAI;
using OpenAI.Chat;

var client = new AzureOpenAIClient(
    new Uri(Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!),
    new ApiKeyCredential(Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY")!));

// ChatClient is keyed by your DEPLOYMENT name
ChatClient chat = client.GetChatClient("gpt-4o-mini");

var messages = new List<ChatMessage>
{
    new SystemChatMessage("You are a senior .NET pair programmer. Answer with code when possible. Be concise."),
};

while (true)
{
    Console.Write("> ");
    messages.Add(new UserChatMessage(Console.ReadLine()));

    var response = await chat.CompleteChatAsync(messages);
    var reply = response.Value.Content[0].Text;
    Console.WriteLine(reply);
    messages.Add(new AssistantChatMessage(reply));
}

That SystemChatMessage is your Copilot personality. Everything Copilot chat does, you now own.

Step 3 — What makes it "Copilot-like"

A raw chat loop answers generic questions. Copilot's edge is context injection:

Relevant files — pull the file the user has open into the system prompt or a user message. Even naive "here's the current file" pasting beats zero context.
Retrieval (RAG) — embed your repo with Azure AI Search or a local vector store; stuff the top-k snippets in before the question.
Tool calling — register C# methods (build, run tests, search docs) as function tools so the model can act, not just answer.

var options = new ChatCompletionOptions();
options.Tools.Add(ChatTool.CreateFunctionTool(
    functionName: "run_dotnet_test",
    functionDescription: "Run dotnet test on the current project",
    functionParameters: BinaryData.FromString("""{"type":"object","properties":{}}""")));

The model decides when to call it; you execute and feed the result back as a ToolChatMessage. That loop is an agent.

Cost & guardrails (the part nobody demos)

gpt-4o-mini is fine for dev/test — roughly cents per long session. Swap deployments without changing code.
Azure OpenAI adds content filters by default — tune them per-deployment in Foundry.
Set a rate limit (TPM) on the deployment so a runaway loop can't burn your budget.
Data sent to Azure OpenAI is not used for training — that's the enterprise pitch vs. consumer chatbots.

Checklist

[ ] Azure OpenAI resource + model deployment (Foundry)
[ ] Endpoint + key in environment variables
[ ] Working chat loop with a real system prompt
[ ] One context-injection trick (open file, RAG, or a tool)

Next level: wire the same client into a minimal VS Code / CLI front-end and you have a private Copilot for your team.

Connect

If this kind of post is useful, the easiest way to support the work is to:

Star / follow on dev.to (you're already here 🙂)
Follow on X: @devkingov
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DEV Community: karleeov

Top 5 Dev Tools & Tutorials Trending Today (2026-10-07)

Mistral Large 4: Enhance Your App with Advanced NLP

What it is:

Why now:

Tutorial angle:

Difficulty:

Start today:

EmbeddingGemma 2: Master Multimodal Data Processing

What it is:

Why now:

Tutorial angle:

Difficulty:

Start today:

Create Interactive Q&A Pages with answer-me-with-html

What it is:

Why now:

Tutorial angle:

Difficulty:

Start today:

Build and Defend with Stronghold-Protocol

What it is:

Why now:

Tutorial angle:

Difficulty:

Start today:

Boost Your Mac's AI Power with backburner

What it is:

Why now:

Tutorial angle:

Difficulty:

Start today:

Building in public: my lead-gen engine

Start with this today

Picks of the week

Connect

Today's Top Dev Tools & Tutorials: Azure AI Foundry, .NET 10, and More

1. Azure AI Foundry's AI Model Management

2. Azure Container Apps & AKS Integration

3. .NET 10's Enhanced APIs

4. GitHub Copilot Studio's AI-Powered Code Generation

5. Microsoft Fabric's AI-Driven Data Analytics

Building in public: my lead-gen engine

Start with this today

Picks of the week

Question for readers

Connect

Top New Dev Tools: Automate Workflows, Mod Games, and More

1. Automate Your Workflow with OpenDots

2. Mod Your PC Games with Claude AI using Universal-Modder

3. Deploy Your Own AI-Powered Browser with feder-cr/dots

4. Refine AI-Generated Japanese with yomiyasu

5. Create Stunning 3D Floor Plans with wy51ai/floorplan-3d

Building in public: my lead-gen engine

Start with this today

Picks of the week

Connect

Top Dev Tools & Tutorials: Azure AI, GitHub Copilot Studio, Bicep 2.0, and More

Top Dev Tools & Tutorials: October 4, 2026

1. Azure AI Foundry's AI Model Training Accelerators

2. GitHub Copilot Studio's Collaborative AI Code Features

3. Bicep 2.0's Enhanced Language Features

4. VS Code AI-Powered Extensions

5. Microsoft Agent Framework's Conversational Agent APIs

Building in public: my lead-gen engine

Start with this today

Picks of the week

Connect

The Maya story + SafePlate's six features, home screenshot

karleeov / Maya

Top Dev Tools and Tutorials: October 2026 Edition

Top Dev Tools and Tutorials for October 2026: Harnessing AI and Azure Innovations

Microsoft Fabric Updates: Data Analytics and Visualization

GitHub Copilot Studio Public Beta: AI-Powered Code Suggestions

VS Code and VS 2026 Tooling: AI-Assisted Development

Power Platform AI Builder: AI-Powered App Development

Bicep and Infrastructure as Code (IaC) Improvements

Building in public: my lead-gen engine

Start with this today

Try Bicep's new syntax features

3. Rust on Windows: rustup, rust-analyzer, and the `windows` crate

5. C# `async`/`await`, Properly Explained