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pushkar_aditya

13 karma · joined May 3, 2025

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pushkar_aditya··on Deploy OpenClaw on your own server in just one click
Open Claw is meant to be self hosted because it stores tokens, API key, and any sensitive data in plain text.

but people are being so foolish that they are handing over their private credentials on a silver platter to some random stranger on the internet.

Yeah, I understand that for non technical people it is very hard to even run OpenClaw on their computer, let alone host it on their own server but this should not be the reason

So for non tech people, I created an open source platform called AgentDaddie. Using AgentDaddie, they can deploy OpenClaw on their own server in one click.

More Technical Brief

Login → Connect your DigitalOcean account → A little config → Lay back and enjoy auto deployment

pushkar_aditya··on Let use decide what to watch while eating
Just created a simple webpage wit thousands of movies just click btn and we will select a movie for u ni need to waste time to decide what to watch while eating
pushkar_aditya··on Era of Bloated Software Is Over
So,apps like Lovable, V0 and similar tools use GPUs to render your UIs after generation. As for the second part, you said “no” most of these challenges can be easily tackled with prompting, fine tuning, code context, and a little human intervention. And the fact that in just five years of mainstream AI we have already reached the point where we can use LLM code generation for production apps is incredible. Just imagine what we will achieve in the next 5 to 10 years
pushkar_aditya··on Era of Bloated Software Is Over
In context of UI code generation, there are only so many ways a UI can be built. For example, everyone knows that unnecessary re renders are bad, and that in React it’s best to minimize the use of useEffect and useState whenever possible. Even today, LLMs can already generate fairly optimized UI code. And if you want an even more optimized version, you can simply add instructions in the prompt, asking it to avoid useEffect, useCallback, or useMemo and so on.... unless absolutely necessary. But of course, this kind of implementation usually comes from someone with development experience.

Now, think about a new developer who has just started coding. Let’s say they build a side project called Top Million Developers, where the app fetches data from an API and renders a Table with simple pagination on client side. They launch it on Twitter, it goes viral, and suddenly they are getting thousands of page views. Very quickly, they wll notice their site is slow or even unusable because they didn’t know that rendering a large table in React is not that straightforward. They should have used virtualization to handle it efficiently.

In today’s world, though, the same developer doesn’t need to figure this out manually. Instead, they could simply ask an LLM to generate the code, and it would most likely return an optimized version with proper virtualization and pagination built in.

That is what I mean when I say LLMs can already output optimized code not perfect but quite a optimized code by default in context if UI.

pushkar_aditya··on Era of Bloated Software Is Over
In just five years, we have advanced LLMs to the point where they can already generate production level code. Yes, sometimes the output contains bloat, but isn’t it our responsibility to ensure it doesn’t? We can easily address that with good prompting, fine tuning and code context with little human intervention. Considering how far we have come in just five years, imagine what these models will be capable of in the future. Im confident that in another five years, LLMs will be so advanced that theywill generate less and less bloated code over time and adapt itself according to our need.
pushkar_aditya··on Era of Bloated Software Is Over
No like UI generator platform Like lovable, Bolt and V0 they all use GPU in background in order to render thi UI