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An upgraded dev experience in Google AI Studio

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Re: An upgraded dev experience in Google AI Studio

#121

Earlier quoted context omitted.

Let me know when you meet a person that can handle 1.5M lines, because most people I've worked with can't. Certainly I've never worked on something that required even reading that much... Especially when targeted search options exist to find just specific function/class implementations as needed.

I have a large team that works in a 1.5M line codebase. Not everyone is familiar with every line, but we regularly make changes that would blow through the usable context window of LLMs (which is, in fact, much smaller than advertised). Is a messy 1.5M lines of tightly coupled code best practice? Of course not. But it evolved over about 20 years and processes tens of billions of dollars of financial transactions. In…

> 1.5m line codebase

I work regularly with AOSP code (~3mn). While LLMs (Copilot w/ Claude Sonnet 3.7, in my case) cannot gobble all of it up, they have no trouble answering my queries, for the most part, from submodules. If nothing else, using LLMs has dramatically reduced the time it takes to understand a new code file / submodule / a range of commits.

Re: An upgraded dev experience in Google AI Studio

#122

Earlier quoted context omitted.

I have a large team that works in a 1.5M line codebase. Not everyone is familiar with every line, but we regularly make changes that would blow through the usable context window of LLMs (which is, in fact, much smaller than advertised). Is a messy 1.5M lines of tightly coupled code best practice? Of course not. But it evolved over about 20 years and processes tens of billions of dollars of financial transactions. In…

> 1.5m line codebase I work regularly with AOSP code (~3mn). While LLMs (Copilot w/ Claude Sonnet 3.7, in my case) cannot gobble all of it up, they have no trouble answering my queries, for the most part, from submodules. If nothing else, using LLMs has dramatically reduced the time it takes to understand a new code file / submodule / a range of commits.

I'm going to wildly guess that AOSP is part of every LLMs training set, so that feels like cheating somehow :-)

Re: An upgraded dev experience in Google AI Studio

#123
post #36

Earlier quoted context omitted.

The rabbit OS project is literally the only correct path forward for AI. Hopefully they go for local on device inference, as they removes cloud costs, solving the burning pile of cash problem most AI companies have. Directly driving a user's device (or a device hooked up to a user's account at least) means an AI can do any task that a user can do, tearing down walled gardens. No more "my car doesn't allow programmati…

I feel like I am experiencing so peak level trolling right now or am completely out of the loop. Are you guys seriously trying to make the point that that rabbit R1 deceive is the best think to happen to AI?

Not their device, look at their OS work.

Complete AI control over a personal phone. Anything a user can do the AI can figure out how to do.

That is the end game for everyone right now - a new class of ambient AI powered personal computing.

Re: An upgraded dev experience in Google AI Studio

#124
post #36

Earlier quoted context omitted.

The rabbit OS project is literally the only correct path forward for AI. Hopefully they go for local on device inference, as they removes cloud costs, solving the burning pile of cash problem most AI companies have. Directly driving a user's device (or a device hooked up to a user's account at least) means an AI can do any task that a user can do, tearing down walled gardens. No more "my car doesn't allow programmati…

Do you guys really think these obvious marketing comments will work here?

I'm not related to them at all. I've written about this field independently - https://meanderingthoughts.hashnode.dev/lets-do-some-actual-...

The idea is a fully personal AI that can control ones devices to accomplish complex tasks. Rabbit is working on this through their rabbitOS project, lots of other players are doing the same thing. OpenAI is trying, and lots of open source projects. Even homekit has initial support for LLM integration.

IMHO controlling a phone directly is the best path forward. Google and Apple are best situated to exploit this, but they may be unable to do so due to structural issues within the companies.

Re: An upgraded dev experience in Google AI Studio

#125
post #99

Earlier quoted context omitted.

>We are finally entering the code-on-cloud and run-on-cloud stage. Sounds like an absolute nightmare for freedom and autonomy.

To be fair, before Linux taking off, most UNIX shops where code-on-development-server and run-on-deployment-server stage. Cloud is only the rebranding of timesharing, clear with different technology stacks, however the approach to development is exactly the same as working on an UNIX shop back in 1975 - 1990's.

So back to the dark ages before the tech boom basically.

Re: An upgraded dev experience in Google AI Studio

#126
Using Google Studio AI as a developer will give you a better understanding of the challenges from a product point of view, and why clear, succinct and unambiguous communication is so important. Everyone should try it. But yes, it’s really good for web apps (not so sure for low level programming), not meant as an IDE, purely for AI prompting, which is interesting.
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