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Channel Posts
🚀 .NET 10 is here! 🔥
The successor to .NET 9 is now out — and it’s a Long-Term Support (LTS) release, supported for the next 3 years.
👉 [ Learn what’s new ] :
https://learn.microsoft.com/en-us/dotnet/core/whats-new/dotnet-10/overview
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#dotnet #csharp #aspnetcore #maui
@ProgrammingTip
3 18960
| 2 |  🚀 OpenAI just dropped Sora 2 — and it’s insane.
Every frame of the video you’ll see is fully generated by AI. No cameras, no actors, no sets. Just prompts → video!
[ Blog ] : https://openai.com/index/sora-2
〰️〰️〰️〰️〰️〰️
#AI #OpenAI #Sora
@ProgrammingTip | 5 554 |
| 3 | Preparing for the .NET 10 GC 🔥
In .NET 9 DATAS (Dynamic Adaptation To Application Sizes) got enabled by default, but .NET 9 is not an LTS release, so for many people they will be getting DATAS for the first time when they upgrade to .NET 10.
What does “application size” mean exactly?
This is the LDS (Live Data Size) from GC’s point of view, meaning that if we did the most aggressive GC possible, this is how much memory your application uses. Another way to look at it is this is your long lived data + whatever inflight data you have when a GC occurs.
The goal for DATAS is that you no longer need to do various configurations to try to achieve a heap size proportional to your application usage. The 2 main cases we target with DATAS are:
1) Bursty workloads running in memory constraint environments. DATAS aims to retract the heap size back when the application doesn’t require as much memory and grow it when the app requires more. This is especially important for apps running in containers with memory limits.
2) Small workloads using Server GC — for example, if someone wants to try out a small asp.net core app to see what the experience is like in .NET, DATAS aims provide a heap size much more inline with what the small app actually needs.
[ Article ] : https://maoni0.medium.com/preparing-for-the-net-10-gc-88718b261ef2
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#dotnet #gc
@ProgrammingTip | 5 429 |
| 4 | Announcing ChromeDevTools MCP! 🔥
Connect your AI coding agent to Chrome's powerful automation & debugging capabilities with ease.
Key features:
✅ Reliable automation: It can programmatically handle clicks, form fills, dialogs, and page navigation with ease.
✅ Performance insights: Go beyond simple audits. Instruct your agent to record a performance trace and extract actionable insights to optimize your web apps.
✅ Advanced debugging: Empower your AI to analyze network requests, list console messages, take screenshots, and even evaluate scripts in the browser context.
✅ Browser emulation: Easily test different conditions by emulating CPU slowdowns, network throttling, or various screen sizes.
Works well with modern web apps and believe this will unlock new workflows for automated testing, AI-driven debugging, and interactive web development.
[ Blog ] : https://developer.chrome.com/blog/chrome-devtools-mcp
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#AI #LLM #MCP
@ProgrammingTip | 4 691 |
| 5 |  GitHub MCP Registry: The fastest way to discover MCP Servers 🔝
If you’ve tried connecting AI agents to your development tools, you know the pain: MCP servers scattered across numerous registries, random repos, buried in community threads — making discovery slow and full of friction without a central place to go. Meanwhile, MCP server creators are worn out from publishing to multiple places and answering the same setup questions again and again.
The GitHub MCP Registry launches as your new home base for discovering MCP servers. Whether you’re building with GitHub Copilot, agents, or any AI tool that speaks MCP, this is the place to find what you need. With GitHub already home to most MCP servers, the MCP Registry makes them dramatically easier to discover, explore, and use — helping developers find the right tools faster and contribute to a more open, interoperable ecosystem. ✔️
[ GitHub MCP Registry ] : https://github.com/mcp
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#LLM #AI #MCP #GitHub
@ProgrammingTip | 4 670 |
