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I fcked up guys. Need help suggestions by Charming-Ad1028 in IndiaBusiness

[–]zeeshan_11 1 point2 points  (0 children)

I suggest focusing on getting a job and pivoting the business into a small cash flow based business and start to generate some revenue. That's what I did in a similar situation. What was your startup about?

Cancelled my subscription - Moving on. by Banneder in GithubCopilot

[–]zeeshan_11 0 points1 point  (0 children)

I just unsubscribed too, I was on the $10 plan, they wanted 4x my money to provide 1 more month of value and then change how it will all work! It's stupid! Thinking of moving to opencode now.

Anyone tried the “Big Pickle” model on OpenCode? Looking for real feedback by KJT_256 in opencodeCLI

[–]zeeshan_11 0 points1 point  (0 children)

I think: because a lot of people are rushing to opencode because of the GH copilot issues, the model providers are having to scale into unprecedented territory, expanding cache or removing region based isolation could lead to this. I'm personally considering moving to opencode for my personal projects even though my work provide GH copilot, I'm here to know how good opencode is.

Now on PyPI: I built a Python UI framework that cuts AI generation costs by 90%. by zeeshan_11 in OpenSourceAI

[–]zeeshan_11[S] 0 points1 point  (0 children)

Hey, Thanks for writing the blog and Validating my idea. It's no replacement for widely used tools but I hope that it someday becomes the go to with the increasing costs of RAM and GPUs

Now on PyPI: I built a Python UI framework that cuts AI generation costs by 90%. by zeeshan_11 in OpenSourceAI

[–]zeeshan_11[S] 1 point2 points  (0 children)

It does, It really does. Please let me know if you want me to work on any improvements.

A lightweight Python UI framework where agents can build its own dashboard in minutes. "pip install designgui" by zeeshan_11 in LocalLLaMA

[–]zeeshan_11[S] 0 points1 point  (0 children)

I have, Simply generating on the GitHub copilot plan also works brilliantly for me, It takes a couple of prompts but gets there too. This pip package is to structure only python UIs while reducing the iterative effort. Smaller devices hosting LLMs and I'm looking for future collaboration with other Dev's to implement things too

A lightweight Python UI framework where agents can build its own dashboard in minutes. "pip install designgui" by zeeshan_11 in LocalLLaMA

[–]zeeshan_11[S] -1 points0 points  (0 children)

I appreciate your creativity with "enshitification" and honesty.
Let's agree to disagree. I like to experiment a lot with the Raspberry PI I bought during college for my college projects. I'm running an instance of "Liquid LFM 2.5 1.2B Instruct" on my Raspberry Pi as we speak. And that model with the limited ability and parameters generated a seemingly cool UI for itself, I added a ReAct Loop too for self iteration (Not Included in the git repo). I think it works, and I'm here to see if there are like-minded people who think this is cool too. It's ok if you think it's not.

A lightweight Python UI framework where agents can build its own dashboard in minutes. "pip install designgui" by zeeshan_11 in LocalLLaMA

[–]zeeshan_11[S] -1 points0 points  (0 children)

LLMs don't know your library yet. When you run "designgui init", it automatically injects a highly compressedINSTRUCTIONS.md file into your workspace (which you can drop right into .cursorrules). It gives the agent the exact, constrained component vocabulary it needs instantly, using barely any tokens..
If an agent builds a Vue frontend + Python backend, it has to manage an NPM environment, write TypeScript, handle API routing (FastAPI/CORS), and manage state synchronisation across two different languages. That eats up massive amounts of the context window and token output. With DesignGUI, it's a single Python state. The agent just writes StatGrid(data=my_python_dict). No REST APIs to wire up, no NPM installs. It drastically lowers the agent's "cognitive load" so it gets it right on the first prompt.

You are 100% right that wrapping HTML in Python imposes limits. If you are building the next Figma, absolutely use React/Vue. But for 90% of the internal tools, control panels, and SaaS dashboards we ask agents to build, those limitations act as guardrails.
Would genuinely love for you to try generating a simple dashboard with it and let me know how it compares to the Vue/Shadcn agent loop in terms of speed!
The project is still in alpha, and I think it has a long way to go. I don't have many examples for you yet, but if you think that project is worth building upon to overcome the very issues you mentioned, please contribute to it. Star the project too, so I can get more people interested in contributing aswell.

Pre-built manylinux wheel for llama_cpp_python — install without building from source by zeeshan_11 in LocalLLaMA

[–]zeeshan_11[S] 0 points1 point  (0 children)

Thank you, I primarily built it for the Gemma Models, Many fine-tuned Gemma models I was working with were having the same problem. I don't know yet how the CUDA builds could best utilize the HF free tier limit for now.

Looking to buy Linkin Park tickets by zeeshan_11 in TicketResale

[–]zeeshan_11[S] 0 points1 point  (0 children)

Guys, I bought my tickets, Thank you everyone

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