.NET 11 Preview 2 is now available!

#dotnet #csharp #programming #TechNews #TechUpdates #dotnet11 #fsharp

.NET 11 Preview 2 is now available!

Terminaux 8.2 is coming soon!

Stay tuned for the release on GitHub and on NuGet!

#Terminaux #Colorimetry #GitHub #NuGet #TechNews #TechUpdates #csharp #programming #dotnet

Terminaux 8.2 is coming soon

🚀 Kickstart Your IT Career with Full Stack JAVA & .NET – Placement Assistance Program

Looking to break into the IT industry but not sure where to start? Naresh i Technologies brings you a Placement Assistance Program on Full Stack JAVA & .NET designed to help students and job seekers build the skills that recruiters are actively looking for.

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During this program, you’ll gain exposure to essential Full Stack java development concepts, understand how real-world applications are built, and learn the technologies used in modern software development. Our experts will also guide you on industry expectations, interview preparation, and career opportunities in the Full Stack ecosystem.

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2026 Software Development Trends Are Here

• AI is transforming development workflows.
• .NET is stronger than ever for enterprise systems.
• Cloud-native architectures are now the standard.
• Cybersecurity is no longer optional.
• Web3 is becoming practical — not just hype.

But here’s the real truth
AI won’t replace developers. Smart companies are using AI to empower skilled teams - not eliminate them.

If you’re a startup founder building scalable products or an enterprise leader driving digital transformation, this guide breaks down:

• AI-assisted development (without the hype)
• The evolution of .NET in 2026
• Modern full-stack & cloud-native stacks
• DevOps & cybersecurity priorities
• Hiring trends shaping tech teams

Read the full article here: https://prishusoft.com/blog/2026-software-development-trends-dotnet-ai-cloud

At Prishusoft, we help startups and enterprises build secure, scalable, AI-enabled software using .NET, cloud-native architecture, and modern DevOps practices.

If you’re planning your 2026 tech roadmap, let’s talk.

How to Upgrade .NET Framework in 2026 Without Breaking Your Apps?

Still running applications on an outdated .NET version? Discover how to upgrade the .NET Framework in 2026 without breaking your apps with a structured, step-by-step approach. This guide covers compatibility checks, dependency management, testing strategies, and deployment best practices to ensure a smooth transition. Upgrading improves security, performance, and long-term scalability for enterprise applications.

Read More @ https://www.sapphiresolutions.net/blog/how-to-upgrade-net-framework-in-2026-without-breaking-your-apps

From ASP.NET to .NET Core Migration Services | Modernize Legacy .NET Applications | ISHIR

Many enterprise systems still run on ASP.NET, but rising costs, scalability limits, and security risks are pushing leaders toward .NET Core. This blog explains why migration matters now, key risks to avoid, and how CIOs and CTOs can modernize safely for cloud-ready growth.

Dialy Share - 39

I replaced realtime product matching with a batch pipeline that precomputes matches and stores them in productmatch. Compare endpoints now read cached results only, so the API is faster, cheaper, and more stable.

Core pipeline: Exact match → Vector candidates (optional) → Token fallback → scoring → topN persisted. This lays the groundwork for future LLM validation, but the batch system runs without any LLM dependency.

Thanks to Goldenlion5648 and this tutorial video, I was able to get something going with this little isometric map, making it just random enough to look realistic but not so random that it turns into a chaotic patternless mess.

Avalonia v12.0 Preview 1 is now live!

#Avalonia #csharp #programming #dotnet #TechNews #TechUpdates #Computers #Laptops

Avalonia 12.0 Preview 1 is now live!

C#.Net & Full Stack .Net

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🎨 C#.Net & Full Stack .Net
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Daily Share - 38

Today’s progress: I switched the scraper to a Playwright DOM strategy. Direct API calls were blocked by WAF, but the rendered page works fine, so I extract product info from aria-label and filter out bad entries. I also added paging plus light scrolling to catch lazy-loaded items. It’s now stable enough for small-scale capture, and can be scaled by tuning limits.

Core logic:

WoolworthsLowerShelfDomScraperService: open the page, loop pageNumber, optionally scroll, extract a[href*=’/shop/productdetails/’][aria-label].

Extract Non-member price / Was from aria-label, drop invalid names and missing prices.

Registered the service and exposed a new API route in ScrapingController.

Hello World (Again!): Rotating Focus and Reclaiming Creativity

Blogging again after over a YEAR, and it was discipline (plus a little help from AI!) not more time that unlocked my creativity.

Hoping my story and the new system I’m creating can be helpful to others who keep putting their own projects at the end of the list!

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Senior Software Engineer Hiring Now at Panviva (Remote), Your Tech Leadership Career Path

Daily Share - 37

These days I have made scheduled jobs running on specific days of the week for price tracking and email notification. This includes Quartz mode for local testing and AWS scheduled execution for Lambda deployment, where jobs are dispatched through a unified container entry point using the environment variable.

Another big task in progress is the Admin Monitoring page that collects execution details of scheduled jobs and displays their performance metrics

Admin-only visibility is protected via the AdminOnly authorization policy, based on a JWT email whitelist. Currently available admin endpoints:

• /api/admin/schedules → read job_definitions
• /api/admin/runs → execution history
• /api/admin/stats → aggregated failure rate and duration

The next steps:

• Connect the configuration and executing time of the AWS Scheduler and Quartz.
• Develop /api/admin/health to gather the overall info.
• Develop the frontend pages, including list views, detail views, and statistical dashboards.

Been working with Gitlab pipelines recently for a little project I’m working on (thought I’d try some Sonar again) and they’re wacky. I’m mainly used to BitBucket at work. I still don’t really understand the separation of jobs, and SonarScanner for .Net just isn’t as good as the java one. Setting it up for Java was so much easier. I will say, using the gitlabci tool locally was a lifesaver.

But its done, and it’s reporting proper (at least it seems so).

Getting scarily close to releasing the Nuget package for 0 people to use, but oh well.

AI Chatbots Development with Microsoft & .NET - AI n Dot Net

Design and deploy intelligent AI chatbots using Azure OpenAI, Microsoft Bot Framework, and .NET with AI n DOT NET. Learn how advanced conversational AI solutions can transform customer support by providing instant, accurate responses to user queries, automating repetitive conversations, and ensuring consistent communication across websites, mobile apps, and messaging platforms. AI-powered chatbots help businesses improve response times, increase customer engagement, and deliver personalized experiences while significantly reducing operational and support costs.

AI chatbots can also be used to automate internal processes such as employee helpdesk support, onboarding assistance, and information retrieval, allowing teams to focus on higher-value tasks. AI n DOT NET shares real-world AI chatbot use cases, step-by-step implementation strategies, and proven best practices to help businesses build scalable, secure, and enterprise-ready chatbot solutions. By leveraging trusted Microsoft technologies, organizations can confidently deploy intelligent chatbot applications that enhance efficiency, support compliance, and drive long-term digital transformation.

Daily Share - 34

This week I pushed a pretty satisfying milestone on my Price-Compare project.

I wired up an end-to-end flow where you can upload a grocery receipt image, send it through AWS Rekognition for OCR, parse store/date/items, and then run a fuzzy match against the product catalog. The backend now stores both the raw OCR text and the normalized product name, along with a matched product ID when it’s confident enough.

On the frontend, I added a two-step experience:

Review parsed items – after upload, a dialog shows each recognized line with the OCR text and an editable “Final name” field. You can clean up names, remove noise, or add your own rows. Saving writes everything back to the receiptitem table via a new PUT /api/Receipts/{id}/items endpoint.

Add to My Favorites – once the receipt items are saved, a second dialog lets you choose which matched products you want to track in “My Favorites”. It’s optional: you can skip it, or select just a few items to follow over time.

Daily Share - 33

Today’s MVP milestone:

I’ve finished the first three steps of my receipt-processing pipeline:

1. Upload receipt – users upload receipt images
2. OCR receipt – OCR extracts raw text from the receipt
3. Parse product names – product names are parsed from the OCR result

It’s still a very early version, but seeing the pipeline work end-to-end feels rewarding.

Next, I’ll focus on matching parsed products with real items in the database and letting users confirm the results.

Automation in Action

Manual invoice syncing? Hard pass.

We built a custom C#/.NET integration that automates bi-directional invoice sync between QuickBooks Desktop and Esker—on demand, secure, and reliable.

No manual entry.
Fewer errors.
Hours saved.

This is what smart automation looks like.
Read more: https://www.pellsoftware.com/qbd-esker-integration/