Are you guys seeing only one 3.5 sonnet model on both the Claude page and the Claude app right now? I had 20241022 last night before I hit rate limit twice. Tonight I came back to it and there’s only 3.5 sonnet in the drop-down. The new one is still in my cursor options. Are you guys seeing what I’m seeing?

Unfortunately, Sonnet 3.5 has some access restrictions for members in the EU. There are ways to overcome these obstacles, but do you know any other tools to help code faster? I came across tools like cursor or open source tools like Zen AI, but they produced the best results again with Sonnet. By the way using these tools everyone can be a programmer. Check the video. Do you have any other suggestions for members of the EU?

I've been working on a complex project with a GraphDB ontology and found a helpful approach. Setting a system prompt for Claude's Project has significantly improved my workflow. I use Claude's console to generate this prompt, which I then add to the project. Here's a link to check out the two templates: one is the SYSTEM_PROMPT for Claude's Project, the other is a template for a PROJECT_BLUEPRINT. https://gist.github.com/bartolli/5291b7dd4940b04903cae6141303b50d Here's the workflow I use to generate these: 1. I import the project requirements or brief into Claude and ask to refine and adjust it to my liking. 2. Once I am happy with the brief, I ask Claude to generate a system prompt. 3. I copy the result when I am satisfied, then I move to Claude Console and go to Generate Prompt, paste this and get the response back. 4. The output is my system prompt file. Run this prompt in the console for a workbench evaluation and fine-tuning, adjust to your liking. Copy the prompt. 5. I go back to my Claude Project and click Edit on the right-hand panel, right below the progress bar of the files storage where it says "Custom Instructions will change how Claude behaves and ..." - I paste my system prompt here. 6. I upload the PROJECT_BLUEPRINT. It's important to mention that using the XML tags and curly brackets somehow made Claude respond faster. I assume that those tags give Claude direct access to the uploaded artifacts without having to perform any RAG operations, which is also token-friendly. A key feature of this prompt is how it guides Claude in choosing appropriate artifact types. It instructs Claude to use Markdown tables for simple comparisons, LaTeX for complex tabular data, Mermaid diagrams for processes and relationships, code blocks for executable code, and SVG for custom graphics. This ensures that information is presented in the most effective and clear manner. Now you're ready to start querying Claude.

I’m using the Anthropic API in ClaudeDev. I am running it on a 256 line code app to add some small new functionalities. I just started with ClaudeDev last night and within thirty minutes I had reached my daily rate limit (Tier 1 1m tokens). My prompts were small. e.g. “Add a load button to the main window so the user can load their saved formatting JSON file. Make sure the user does not have to load the formatting every time they launch the app.” And “that didn’t work, provide me with your plan to implement this and then proceed.” I might have had 6 or 7 prompts like this with ClaudeDev successfully implementing two small features to the existing code…..and then my 1m tokens were maxed out. Most of the token usage seems to be coming from output tokens but for such small implementations how are they being used up so quickly? Could ClaudeDev be rewriting the whole code for each edit/implementation instead of just adding to/editing the code that has to do with my prompt? My code is approximately 4,200 tokens so I am not sure why I have so many input tokens. I know I should break it down into a more modular app but this was just a quick efficiency app for work that I was whipping off.

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