Hey, I'm Angel, one of the people behind HolaClaw. We recently had to optimize different prompts for local inference and understanding how much tokens the system and user prompts consume were quite important.
I found several token counters around, but most of them were using estimations. In this tool, all the calculations are real. The website loads the public tokenizer.json files from those models and encode them to count. Everything happens in your browser.
For models / families that don't publish their tokenizer, we had to do an estimation. If you are curious, it worked by compiling the tokenizers library from HuggingFace to Wasm (they already have a demo).
Hope you like it! We plan to add some extra visualizations and stats. Also, feel free to suggest any missing model.
Even though I'm not that familiar with the synth world, I always found it a really interesting field. Websites like this that helps me exploring and learning are amazing :)
This is why I uninstalled Cursor and moving to the terminal with Claude Code. I felt I had more control to reduce the noise from LLMs. Before, I noticed that some hours were just wasted looking at the model output and iterating.
Not sure if I improved using agents over time, or just having it in a separate window forces you to use them only when you need. Having it in the IDE seems the "natural" way to start something and now you are trapped in a conversation with the LLM.
Now, my setup is:
- VSCode (without copilot) / Helix
- Claude (active coding)
- Rover (background agent coding). Note I'm a Rover developer
Also, Codex Cloud and similar services require you to give fully access to your repository, which might trigger some concerns. If you can run it locally, you still have the control, same development environment, and same permissions.
Thanks for your feedback! I faced this in the past. As you mentioned, monorepos are more common these days, but multi-repo is an established approach in many teams. The way I "solved" this situation was to move all the related projects into a single folder with a parent AGENTS.md file (CLAUDE.md, etc.). Then, I run Rover / Claude / Gemini on this folder.
However, this is not ideal. Due to the amount of code, it usually misses many things to do. We are currently exploring specific workflows for these use cases, trying to help agents to prepare a complete plan.
Another similar case we are working on is to support spawning the same task across different repositories. This would help teams to apply refactor or changes in different projects at the same time.
Custom elements are really great for editors and developers. You can provide a rich set of primitives that editors can use to display certain content. In the past, I used MDX [1] extensively so non-technical writers can create a rich UI for a documentation site.
Hyprland is on my todo list because I think it will the reason why I move to Linux. The level of customization and performance is amazing. You can build the desktop you want.
I like the concept. Many times I look for high quality articles to go deep on some topics. I recommend you the fly.io blog [1], it has really nice articles.
For me, the main difference is that LM Studio main app is not OSS. But they are similar in terms of features, although I didn't use LM Studio that much.
Many companies are considering IDEs the way to reach developers. Atom started the trend of next generation IDEs and VSCode consolidated most of the market. With the AI raising, people are looking to get usage, gathering data, and positioning models. An IDE provides you all of that.
AI seems to be a way to engage happy users to try new things. Kiro joins a growing list of projects:
- Kiro (AWS)
- VSCode + Copilot (Microsoft)
- Windsurf (OpenAI tried to get it)
- Cursor
- Trae (Alibaba)
- Zed
- etc.
I put Zed in a separate category in the past. Now with assistants / agents, it's playing on the same space.
The market is a bit saturated and tools like Claude Code gave some flexibility and an alternative for users. I tried Cursor in the past, and now I'm back to Helix / VSCode + Claude Code.
After ChatGPT was announced, I found many cool projects that simplifies how you integrate LLM capabilities into your services. However, I didn't find many of these in the vision ecosystem.
Getting started in AI + vision with just 3 commands is amazing! I will definitely try it for some personal projects with IP cameras.
Maybe they’re planning to shutdown Google Drive as it is and focus more on the “Office suite” experience. More oriented towards business case, and MD is not a priority for this at all.
I know other existing projects like this (GitHub profile generators), although I like the idea you can customize the template.
However, it requires quite effort to deploy this one as you need to setup different services for the DB, deployment, etc. Since the data is pushed based on a GitHub action, I'm wondering if it's possible to just build a static site based on it. In the end, we're storing "snapshots" of the data to query them later.
I love these kind of wikis. Tbh, I'm obsessed with content conservation so any initiative like this brings my attention. Am I the only one running an ArchiveBox [1] for a personal archive?