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GitHub cuts AI deals with Google, Anthropic

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Re: GitHub cuts AI deals with Google, Anthropic

#221

Post by thih9 »

I use cursor and its tab completion; while what it can do is mind blowing, in practice I’m not noticing a productivity boost.

I find that ai can help significantly with doing plumbing, but it has no problems with connecting the pipes wrong. I need to double and triple check the updated code - or fix the resulting errors when I don’t do that. So: boilerplate and outer app layers, yes; architecture and core libraries, no.

Curious, is that a property of all ai assisted tools for now? Or would copilot, perhaps with its new models, offer a different experience?

Re: GitHub cuts AI deals with Google, Anthropic

#223

Post by WgaqPdNr7PGLGVW »

geodel wrote: post #178
imiric wrote: post #125

Earlier quoted context omitted.

I recently tried to ask these tools for help with using a popular library, and both GPT-4o and Claude 3.5 Sonnet gave highly misleading and unusable suggestions. They consistently hallucinated APIs that didn't exist, and would repeat the same wrong answers, ignoring my previous instructions. I spent upwards of 30 minutes repeating "now I get this error" to try to coax them in the right direction, but always ending up…

Well it is volume business. <1% of advanced skill developers will find AI helper useless but for 99% of IT CRUD peddlers these tools are quite sufficient. All in all if employers cut down 15-20% of net development costs by reducing head counts, it will be very worthwhile for companies.

I suspect it will go a different direction.

Codebases are exploding in size. Feature development has slowed down.

What might have been a carefully designed 100kloc codebase in 2018 is now a 500kloc ball of mud in 2024.

Companies need many more developers to complete a decent sized feature than they needed in 2018.

Re: GitHub cuts AI deals with Google, Anthropic

#224

Post by MuffinFlavored »

thih9 wrote: post #221

I use cursor and its tab completion; while what it can do is mind blowing, in practice I’m not noticing a productivity boost. I find that ai can help significantly with doing plumbing, but it has no problems with connecting the pipes wrong. I need to double and triple check the updated code - or fix the resulting errors when I don’t do that. So: boilerplate and outer app layers, yes; architecture and core libraries,…

> in practice I’m not noticing a productivity boost.

How can this be possible if you literally admit its tab completion is mindblowing?

Isn't really good tab completion good enough for at least a 5% producitvity boost? 10%? 20%?

Select line of code, prompt it to refactor, verify they are good, accept the changes

Re: GitHub cuts AI deals with Google, Anthropic

#225

Post by mnau »

lofaszvanitt wrote: post #184

Thank you people for contributing to this free software ecosystem. Oh, you can't monetize your work? Your problem, not ours! Deals are made, but you, who provide your free code, we have zero monetization options for you on our github platform. Go pay for copilot which was trained on your data. I mean, this is the worst farce ever concocted. And people are oblivious what's happening...

We are not oblivious. We are powerless. Oracle could go toe to toe with Google and threaten multibillion fines over basically API and 11kLOC. As a open source developer, there is no way to match that.

Re: GitHub cuts AI deals with Google, Anthropic

#226

Post by ed_elliott_asc »

I am excited about this as I use Claude for coding but what I really like about copilot is if you have a list of something random like:

/* Col1 varchar not null, Col2 int null, Col3 int not nul*/

Then start doing something else like:

| column | type | |—-| —-| | Col1 | varchar |

Then copilot is very good at guessing the rest of the table.

(This isn’t just sql to markdown it works whenever you want to repeat something using parts of another list somewhere in the same doc)

I hope they continues as this has been a game changer for me as it is so quick, really great.

Re: GitHub cuts AI deals with Google, Anthropic

#227

Post by int_19h »

SirMaster wrote: post #30
hshshshshsh wrote: post #16

Earlier quoted context omitted.

Isn there no open source alternative? Like a plugin or something.

Not for visual studio 2022 unfortunately.

There are several plugins for VS 2022 that offer Copilot-like UI on top of a local Llama model, although I can't speak for their quality.

Re: GitHub cuts AI deals with Google, Anthropic

#228

Post by croes »

a_wild_dandan wrote: post #155
unshavedyak wrote: post #132

Earlier quoted context omitted.

I wonder how long people will still protest in these threads that "It doesn't know anything! It's just an autocomplete parrot!" Because.. yea, it is. However.. it keeps expanding, it keeps getting more useful. Yea people and especially companies are using it for things which it has no business being involved in.. and despite that it keeps growing, it keeps progressing. I do find the "stochastic parrot" comments slowl…

The "statistical parrot" parrots have been demonstrably wrong for years (see e.g. LeCun et al[1]). It's just harder to ignore reality with hundreds of millions of people now using incredible new AI tools. We're approaching "don't believe your lying eyes" territory. Deniers will continue pretending that LLMs are just an NFT-level fad or bubble or whatever. The AI revolution will continue to pass them by. More's the pi…

What does the mass of users change about what it is? How many of these check the results for hallucinations and how many don’t because I part of AI?

More than once these tools fail at tasks a fifth grader could understand

Re: GitHub cuts AI deals with Google, Anthropic

#229

Post by MangoCoffee »

thih9 wrote: post #221

I use cursor and its tab completion; while what it can do is mind blowing, in practice I’m not noticing a productivity boost. I find that ai can help significantly with doing plumbing, but it has no problems with connecting the pipes wrong. I need to double and triple check the updated code - or fix the resulting errors when I don’t do that. So: boilerplate and outer app layers, yes; architecture and core libraries,…

Time will tell. As a GitHub Copilot user, I still review the code.

SpaceX's advancements are impressive, from rocket blow up to successfully catching the Starship booster.

Who knows what AI will be capable of in 5-10 years? Perhaps it will revolutionize code assistance or even replace developers

Re: GitHub cuts AI deals with Google, Anthropic

#230

Post by m3kw9 »

MuffinFlavored wrote: post #224
thih9 wrote: post #221

I use cursor and its tab completion; while what it can do is mind blowing, in practice I’m not noticing a productivity boost. I find that ai can help significantly with doing plumbing, but it has no problems with connecting the pipes wrong. I need to double and triple check the updated code - or fix the resulting errors when I don’t do that. So: boilerplate and outer app layers, yes; architecture and core libraries,…

> in practice I’m not noticing a productivity boost. How can this be possible if you literally admit its tab completion is mindblowing? Isn't really good tab completion good enough for at least a 5% producitvity boost? 10%? 20%? Select line of code, prompt it to refactor, verify they are good, accept the changes

In experience, I always have to spend time to check and most times it doesn’t do what I need unless it’s very simple asks.
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