Programming Tips

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 @ProgrammingTip

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 @ProgrammingTip

🚀 .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 @ProgrammingTip

🚀 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

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 @ProgrammingTip