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Programming & AI Tips 💡

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Programming & AI: Tips 💡 Articles 📕 AI & LLMs 👾 Design, Architecture, Principles ✅ 🇳🇱 Contact: @MoienTajik

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  • 10 июн.Anthropic just introduced Claude Fable 5 and Claude Mythos 5 🚀 The interesting part: Fable 5 and Mythos 5 are basically the same underlying model, but with different access and safety layers. ✅ Claude Fable 5 is the version available for general users. Anthropic says it is their most capable generally available model so far, especially for: • Software Engineering • Long-running agentic tasks • Vision-based work • Knowledge work • Scientific reasoning • Long-context workflows One example they shared is pretty wild: Stripe tested it on a 50M-line Ruby codebase, and it completed a migration in one day that would normally take a team more than two months. 🤯 But because the model is much stronger, Anthropic is adding stricter safeguards. For risky areas like cybersecurity, biology/chemistry, and model distillation, some requests will automatically fall back to Claude Opus 4.8 instead of Fable 5. ⚠️ Claude Mythos 5 is the restricted version, mainly for trusted Cyber defenders, infrastructure providers, and later selected biology researchers. It has some safeguards lifted depending on the access program. Pricing is 💸: • $10 / 1M input tokens • $50 / 1M output tokens [ Read More ] : https://www.anthropic.com/news/claude-fable-5-mythos-5 〰️〰️〰️〰️〰️〰️ #AI #Claude #LLM @ProgrammingTip0,00%
  • 11 мар.Cursor agents can now control their own computers 👾 Cursor introduced cloud agents that can control their own computers (VMs) and build software end-to-end. Instead of just generating code, agents can now: ✅ Run full dev environments in isolated cloud machines ✅ Test features, fix issues, and validate results ✅ Record videos / screenshots / logs as proof ✅ Create merge-ready PRs automatically At Cursor, 30% of merged PRs are already created by these autonomous agents. This changes the developer role: 👉 Less micro-coding, more direction, review, and decision-making. The long-term vision is “self-driving codebases”: agents that ship features, manage rollouts, and monitor production. 🚀 [ Read More ] : https://cursor.com/blog/agent-computer-use 〰️〰️〰️〰️〰️〰️ #AI #Cursor @ProgrammingTip0,00%
  • 12 нояб.🚀 .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 〰️〰️〰️〰️〰️〰️ #dotnet #csharp #aspnetcore #maui @ProgrammingTip0,00%
  • 1 окт. 2025 г.🚀 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 @ProgrammingTip0,00%
  • 29 сент. 2025 г.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 〰️〰️〰️〰️〰️〰️ #dotnet #gc @ProgrammingTip0,00%
  • 26 сент. 2025 г.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 〰️〰️〰️〰️〰️〰️ #AI #LLM #MCP @ProgrammingTip0,00%
  • 23 сент. 2025 г.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 〰️〰️〰️〰️〰️〰️ #LLM #AI #MCP #GitHub @ProgrammingTip0,00%
  • 17 сент. 2025 г.Jetbrains Grazie: AI writing companion for people in tech 🚀 If you spend more time writing documentation, commit messages, blog posts or support tickets than you’d like, JetBrains just launched something you’ll want to try: Grazie. It’s an AI writing assistant built for people in tech, helping make all those non-code texts better, faster. 🔍 What Does Grazie Do? • Instant proofreading (grammar, spelling, punctuation, style) • Inline text completion • Summarization • Translation across several languages • Rephrasing / tone correction / synonymization • AI-Chat 🛠 Where It Works & Pricing • Plugin for JetBrains IDEs • Browser extension for Chromium-based browsers • Google Docs, Sheets, Gmail • GitHub • Slack • And many more ... [ Download ] : https://www.jetbrains.com/grazie 〰️〰️〰️〰️〰️〰️ #AI #Jetbrains #GrammarAI @ProgrammingTip0,00%
  • 5 сент. 2025 г.🖼 Gemini’s Nano Banana Google just introduced Nano Banana, a new image-editing feature powered by Imagen 4. 🍌 🔹 Merge multiple photos seamlessly 🔹 Apply style & texture transfers 🔹 Edit backgrounds and objects with natural prompts 🔹 Generate high-quality visuals in seconds Why it matters: For developers and designers, Nano Banana is a fast way to prototype visuals, explore UI ideas, and experiment creatively without heavy tools. You can use Nano Banana directly inside Gemini. 🚀 [ Read More ] : https://gemini.google/overview/image-generation 〰️〰️〰️〰️〰️〰️ #AI #Gemini #Google @ProgrammingTip0,00%
  • 3 сент. 2025 г.The Hidden Cost of DateTime.Now in .NET 🕰 You're Using DateTime.Now — and It's Breaking Your Code … ❌ Let's be honest: We've all written this: if (DateTime.Now > token.Expiry) { return Unauthorized(); } It works… until it doesn't. In production, this little line can wreck your logic due to clock drift, time zone shifts, or mocking nightmares. 🐞 [ Article ] : https://freedium.cfd/https://medium.com/@yaseer.arafat/the-hidden-cost-of-datetime-now-and-what-every-net-developer-should-use-instead-8859863257a1 〰️〰️〰️〰️〰️〰️ #dotnet #csharp @ProgrammingTip0,00%
  • 25 июл. 2025 г.💡 Tip Before expecting an LLM to handle a complex task, use this litmus test: Could a human expert — who knows all relevant general knowledge by heart — complete the task in a single go without backtracking, editing, or note-taking? If not, the prompt may exceed what’s reasonable for an LLM today. 📘 From Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications 〰️〰️〰️〰️〰️〰️ #AI #LLM #PromptEngineering @ProgrammingTip0,00%
  • 4 июл. 2025 г.Cursor can now make to-do lists, search PRs, and queue messages 👾 [ Blog ] : https://cursor.com/changelog/1-2 〰️〰️〰️〰️〰️〰️ #AI #Agents #Cursor @ProgrammingTip0,00%