4 ms·

Now when I see new software projects I just think of how much of them are made with agents and the unreliability/easy abandonment that comes with it. Ten years

Now when I see new software projects I just think of how much of them are made with agents and the unreliability/easy abandonment that comes with it. Ten years ago this product would have been of a known quality. Not saying anything about buzz specifically.

EagleEdge 3mo ago
I think it depends on the team behind it, the models being used for the building, testing and verification.
mplewis 3mo ago
oh, you absolutely know this one is going to be a slopfest. Buzz is going to make GitHub look like a paragon of nines.
- butlike 3mo ago
  It's probably just Dorsey's vibe-coded side project. The scope isn't too big and it's rather unimpressive
  - bigfishrunning 3mo ago
    Isn't everything Dorsey does these days his vibe-coded side project?
cyanydeez 3mo ago
when I see new projects I think: Is it useful? IF yes, I clone it and point my LLM at it to do whatever I need it to do. You're think with your cloud-LLM brain; maybe buy a good GPU and download a local model and you too can-do attitude!
AlienRobot 3mo ago
The ease of abandonment is real. 1. Generate function with AI. 2. Generate tests with AI. 3. Modify function with AI. 4. Tests no longer pass. 5. Delete all tests. 6. Generate tests with AI.
horsawlarway 3mo ago
I find this thought process somewhat faulty given that the vast majority of software ends up in that spot regardless. Hard to take this as that big a deal when Google literally launched a product along similar social themes named "Google Buzz" which lasted all of like 16 months in 2010, well before agents and llms. Either the project will find a fit, or it won't - and code quality doesn't have all that much to do with it existing in 2 years (some - but not as much as engineers want to believe).
- mcrk 3mo ago
  [flagged]
- witx 3mo ago
  Argument similar to: people still get hurt riding a skate without a helmet, why do I need it anyway?
  - horsawlarway 3mo ago
    If you can point me at any actual data that Saas companies are more like to be abandonware if AI is used... sure. But my experience with startups is that the odds are great they're ALL going to be abandonware in a couple years. Ex - 50% of every company started is out of business in 5 years.
- Brian_K_White 3mo ago
  And I find this thought process somewhat faulty.
_pdp_ 3mo ago
It is safe bet to assume that all of them are generated with LLMs.
overgard 3mo ago
Yeah, it used to be the friction of making something was at least a partial sign that it had been thought out to some degree. Now it's just "lets lob it on users and make them figure out if this is worth a damn". I feel like with a lot of this stuff, there isn't much value to being an early adopter and there's a lot of risk. Better just to wait a couple months to see how things shake out. If it has staying power it really won't matter if you're behind by like a few months.
kccqzy 3mo ago
Nah. I made plenty of software and then abandoned them because I lost interest in them. My GitHub is already a fairly large collection of my own abandoned software, and there are 10x more on my PC that I never bothered to upload to GitHub. Easy abandonment is always there.
- Brian_K_White 3mo ago
  Not at all the same thing. Your half-baked works can't appear to be anything else than what they actually are. You are in no danger of wasting anyone's time. For one thing, you probably never tried to mislead anyone. Did you put 8 minutes of effort into something and then come here and try to say "Hey world, here is a thing you should all care about and invest in. I mean, I didn't, but you should."? But even if you did try, you physically cannot (5 years ago) generate the equivalent of 10 years of work by a 10 person team complete with docs and tests that all looks plausible and maybe even runs.
  - kccqzy 3mo ago
    I respectfully disagree. Single-person projects that are not commercially motivated always have the risk of abandonment, regardless of how polished they seem. Depending on the problem itself, I could very well get bored after 8 minutes of effort, or 8 months of work. Some of my personal projects had a lot of polish because I really cared; I abandoned them because I stopped caring. (Also, adding polish was a great procrastination activity when you did not want to work on more important tasks.) > Hey world, here is a thing you should all care about and invest in. I think this is where our mentality differs the most. I never requested the world to care about my projects, which is why I did not feel any weight of responsibility when I abandon my projects.
    - Brian_K_White 3mo ago
      You say you disagree, and then did not say anything that contradicts.
CivBase 3mo ago
I'm left wondering why I should bother adopting - much less paying for - these kinds of projects. If it's that trivial to throw together, what value are you even delivering for me? Why wouldn't I just use the same tricks to spin my own solution that does exactly what I need and not whatever you think I might need?
fantasizr 3mo ago
i really never want to be an early adopter anymore. I need 6 months of vetting to determine if it's the flavor of the week (or flavor of the DAY)

EagleEdge 3mo ago

I think it depends on the team behind it, the models being used for the building, testing and verification.

mplewis 3mo ago

oh, you absolutely know this one is going to be a slopfest. Buzz is going to make GitHub look like a paragon of nines.

butlike 3mo ago
It's probably just Dorsey's vibe-coded side project. The scope isn't too big and it's rather unimpressive
- bigfishrunning 3mo ago
  Isn't everything Dorsey does these days his vibe-coded side project?

cyanydeez 3mo ago

when I see new projects I think: Is it useful? IF yes, I clone it and point my LLM at it to do whatever I need it to do. You're think with your cloud-LLM brain; maybe buy a good GPU and download a local model and you too can-do attitude!

AlienRobot 3mo ago

The ease of abandonment is real. 1. Generate function with AI. 2. Generate tests with AI. 3. Modify function with AI. 4. Tests no longer pass. 5. Delete all tests. 6. Generate tests with AI.

horsawlarway 3mo ago

I find this thought process somewhat faulty given that the vast majority of software ends up in that spot regardless. Hard to take this as that big a deal when Google literally launched a product along similar social themes named "Google Buzz" which lasted all of like 16 months in 2010, well before agents and llms. Either the project will find a fit, or it won't - and code quality doesn't have all that much to do with it existing in 2 years (some - but not as much as engineers want to believe).

mcrk 3mo ago
[flagged]
witx 3mo ago
Argument similar to: people still get hurt riding a skate without a helmet, why do I need it anyway?
- horsawlarway 3mo ago
  If you can point me at any actual data that Saas companies are more like to be abandonware if AI is used... sure. But my experience with startups is that the odds are great they're ALL going to be abandonware in a couple years. Ex - 50% of every company started is out of business in 5 years.
Brian_K_White 3mo ago
And I find this thought process somewhat faulty.

_pdp_ 3mo ago

It is safe bet to assume that all of them are generated with LLMs.

overgard 3mo ago

Yeah, it used to be the friction of making something was at least a partial sign that it had been thought out to some degree. Now it's just "lets lob it on users and make them figure out if this is worth a damn". I feel like with a lot of this stuff, there isn't much value to being an early adopter and there's a lot of risk. Better just to wait a couple months to see how things shake out. If it has staying power it really won't matter if you're behind by like a few months.

kccqzy 3mo ago

Nah. I made plenty of software and then abandoned them because I lost interest in them. My GitHub is already a fairly large collection of my own abandoned software, and there are 10x more on my PC that I never bothered to upload to GitHub. Easy abandonment is always there.

Brian_K_White 3mo ago
Not at all the same thing. Your half-baked works can't appear to be anything else than what they actually are. You are in no danger of wasting anyone's time. For one thing, you probably never tried to mislead anyone. Did you put 8 minutes of effort into something and then come here and try to say "Hey world, here is a thing you should all care about and invest in. I mean, I didn't, but you should."? But even if you did try, you physically cannot (5 years ago) generate the equivalent of 10 years of work by a 10 person team complete with docs and tests that all looks plausible and maybe even runs.
- kccqzy 3mo ago
  I respectfully disagree. Single-person projects that are not commercially motivated always have the risk of abandonment, regardless of how polished they seem. Depending on the problem itself, I could very well get bored after 8 minutes of effort, or 8 months of work. Some of my personal projects had a lot of polish because I really cared; I abandoned them because I stopped caring. (Also, adding polish was a great procrastination activity when you did not want to work on more important tasks.) > Hey world, here is a thing you should all care about and invest in. I think this is where our mentality differs the most. I never requested the world to care about my projects, which is why I did not feel any weight of responsibility when I abandon my projects.
  - Brian_K_White 3mo ago
    You say you disagree, and then did not say anything that contradicts.

CivBase 3mo ago

I'm left wondering why I should bother adopting - much less paying for - these kinds of projects. If it's that trivial to throw together, what value are you even delivering for me? Why wouldn't I just use the same tricks to spin my own solution that does exactly what I need and not whatever you think I might need?

fantasizr 3mo ago

i really never want to be an early adopter anymore. I need 6 months of vetting to determine if it's the flavor of the week (or flavor of the DAY)