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GitHub Copilot Coding Agent

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Re: GitHub Copilot Coding Agent

#281

Post by notsydonia »

Cthulhu_ wrote: post #266
nautilus12 wrote: post #213

Earlier quoted context omitted.

Welp....Github was good product while it lasted.

Github and Copilot are separate products, nothing mandates you to use it.

Incorrect. It's not mandated that you actually use it to write or correct code but it's impossible to remove it so you need to either get used to blocking out it's incessant suggestions and notifications or stop using GitHub.

Similarly, the newest MS Word has CoPilot that you "don't have to use" but you still have to put up with the "what would you like to write today?" prompt request at the start of every document or worse "You look like you're trying to write a...formal letter...here are some suggestions."

Re: GitHub Copilot Coding Agent

#282

Post by Cthulhu_ »

candiddevmike wrote: post #17
Scene_Cast2 wrote: post #8

I tried doing some vibe coding on a greenfield project (using gemini 2.5 pro + cline). On one hand - super impressive, a major productivity booster (even compared to using a non-integrated LLM chat interface). I noticed that LLMs need a very heavy hand in guiding the architecture, otherwise they'll add architectural tech debt. One easy example is that I noticed them breaking abstractions (putting things where they do…

> I also ended up blowing through $15 of LLM tokens in a single evening. This is a feature, not a bug. LLMs are going to be the next "OMG my AWS bill" phenomenon.

Especially at companies (hence this github one), where the employees don't care about cost because it's the boss' credit card.

Re: GitHub Copilot Coding Agent

#283

Post by sensanaty »

taurath wrote: post #13

> Copilot excels at low-to-medium complexity tasks in well-tested codebases, from adding features and fixing bugs to extending tests, refactoring, and improving documentation. Bounds bounds bounds bounds. The important part for humans seems to be maintaining boundaries for AI. If your well-tested codebase has the tests built thru AI, its probably not going to work. I think its somewhat telling that they can't share n…

> I want to know that Microsoft, the company famous for dog-fooding is using this day in and day out, with success

Have they tried dogfooding their dogshit little tool called Teams in the last few years? Cause if that's what their "famed" dogfooding gets us, I'm terrified to see what lays in wait with copilot.

Re: GitHub Copilot Coding Agent

#284

Post by diggan »

spooneybarger wrote: post #220
DeepYogurt wrote: post #75

Earlier quoted context omitted.

> I feel like I saw a quote recently that said 20-30% of MS code is generated in some way. [0] Similar to google. MS now requires devs to use ai

I know a lot of devs at MSFT, none of them are required to use AI.

From reading around on Hacker News and Reddit, it seems like half of commentators say what you say, and the other half says "I work at Microsoft/know someone who works at Microsoft, and our/their manager just said we have to use AI", someone mentioned being put on PIP for not "leveraging AI" as well.

I guess maybe different teams have different requirements/workflows?

Re: GitHub Copilot Coding Agent

#285

Post by FeepingCreature »

Scene_Cast2 wrote: post #8

I tried doing some vibe coding on a greenfield project (using gemini 2.5 pro + cline). On one hand - super impressive, a major productivity booster (even compared to using a non-integrated LLM chat interface). I noticed that LLMs need a very heavy hand in guiding the architecture, otherwise they'll add architectural tech debt. One easy example is that I noticed them breaking abstractions (putting things where they do…

I think it's just that it's not end-to-end trained on architecture because the horizon is too short. It doesn't have the context length to learn the lessons that we do about good design.

Re: GitHub Copilot Coding Agent

#286

Post by FeepingCreature »

Scene_Cast2 wrote: post #198
dyauspitr wrote: post #166

Earlier quoted context omitted.

I don’t get it? Isn’t it just a monthly fixed subscription.

Nope - I use a-la-carte pricing (through openrouter). I much prefer it over a subscription, as there are zero limits, I pay only for what I use, and there is much less of a walled garden (I can easily switch between Anthropic, Google, etc).

Same here, same reasons!

Re: GitHub Copilot Coding Agent

#287

Post by FeepingCreature »

akmarinov wrote: post #223
Scene_Cast2 wrote: post #8

I tried doing some vibe coding on a greenfield project (using gemini 2.5 pro + cline). On one hand - super impressive, a major productivity booster (even compared to using a non-integrated LLM chat interface). I noticed that LLMs need a very heavy hand in guiding the architecture, otherwise they'll add architectural tech debt. One easy example is that I noticed them breaking abstractions (putting things where they do…

> I noticed that LLMs need a very heavy hand in guiding the architecture, otherwise they'll add architectural tech debt. One easy example is that I noticed them breaking abstractions That doesn’t matter anymore when you’re vibe coding it. No human is going to look at it anyway. It can all be if/else on one line in one file. If it works and if the LLMs can work at, iterate and implement new business requirements, whil…

LLMs need a very heavy hand in guiding the architecture because otherwise they'll code it in a way that even they can't maintain or expand.

Re: GitHub Copilot Coding Agent

#288

Post by jappgar »

leptons wrote: post #174
eterm wrote: post #149

Earlier quoted context omitted.

My point is that saving 1,000 hours each day doesn't actually give you 1,000 hours a day to do things with. You still get your 24 hours, no matter how much time you save. What actually matters is the value of what is delivered, not how much time it actually saves you. Justifying costs by "time saved" is a good way to eat up your money on time-saving devices.

If I "save 1000 hours" then that could be distributed over 41.666 days, so no task would need to be performed during that period because "I saved 1000 hours". You could also say you saved 41.666 people an entire 24 hour day, by "saving 1000 hours", or some other fractional way. How you're trying to explain it as "saving 1000 hours each day" is really not making any sense without further context. And I'm sure if I had…

You're overthinking it.

It's like this coupon booklets they used to sell. "Over $10,000 of savings!"

Yes but how much money do I have to spend in order to save $10,000?

There was this funny commercial in the 90s for some muffler repair chain that was having a promotion: "Save Fifty Dollars..."

The theme was "What will you do with the fifty dollars you saved?" And it was people going to Disneyland or afancy dinner date.

The people (actors) believed they were receiving $50. They acted as if it was free money. Meanwhile there was zero talk about whether their cars needed muffler repair at all.

Re: GitHub Copilot Coding Agent

#289

Post by jollyllama »

SkyPuncher wrote: post #97
Scene_Cast2 wrote: post #8

I tried doing some vibe coding on a greenfield project (using gemini 2.5 pro + cline). On one hand - super impressive, a major productivity booster (even compared to using a non-integrated LLM chat interface). I noticed that LLMs need a very heavy hand in guiding the architecture, otherwise they'll add architectural tech debt. One easy example is that I noticed them breaking abstractions (putting things where they do…

I loathe using AI in a greenfield project. There are simply too many possible paths, so it seems to randomly switch between approaches. In a brownfield code base, I can often provide it reference files to pattern match against. So much easier to get great results when it can anchor itself in the rest of your code base.

The trouble occurs when the brownfield project is crap already.

Re: GitHub Copilot Coding Agent

#290

Post by [deleted] »

jagged-chisel wrote: post #201

I’ve been trying to use Copilot for a few days to get some help writing against code stored on GitHub. Copilot has been pretty useless. It couldn’t maintain context for more than two exchanges. Copilot: here’s some C code to do that Me: convert that to $OTHER_LANGUAGE Copilot: what code would you like me to convert? Me: the code you just generated Copilot: if you can upload a file or share a link to the code, I can h…

[deleted]
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