I've been working on multiple projects and constantly switching between different language models like ChatGPT, Claude, and Grok. This means I have to re-explain the context of my project every time, which gets really frustrating. Some people advised me to keep a document with my context and updates, but that doesn't seem like a great solution. I'm in the process of building an app called Window, designed to tackle this issue. With Window, you can save your context once and reuse it across various models. Here are some features: you add your context once, use it across all LLMs, transfer context from model to model, maintain up-to-date context, and, best of all, no more re-explaining. I'd love to get feedback and criticism from the web dev community!
3 Answers
Honestly, I think you might be focusing on the wrong problem here. Instead of building a whole tool for this, maybe it's better to just get more familiar with each LLM. Learning how to design and implement code in a tidy way could be a more valuable investment in the long run. That's just my two cents!
Why not just write your code the standard way instead of complicating things with tools like Window? Sometimes simpler is better. Engaging directly with the code can yield way better results than trying to shuffle context around. Just a thought!
I feel you! It's a hassle to keep explaining the same thing over and over. Window sounds like a neat idea. However, I wonder if it’s really possible to keep everything structured enough to truly benefit from model-to-model context sharing. Sometimes, different LLMs interpret things in their own way, so would your context get mixed up? That’s something to consider. Just curious!
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