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Schedule tasks on the web

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Re: Schedule tasks on the web

#251

Post by nerptastic »

adobrawy wrote: post #84
esperent wrote: post #43

Earlier quoted context omitted.

Can you give some examples?

That feature was silent launched about week ago for me. I use it to: - perform review of latest changes of code to update my documentation (security policies, user documentation etc.) - perform review to latest changes of code, triage them, deduplicate and improve code - I review them, close them with comments for over-engoneering / add review for auto-fix - perform review of open GitHub issue with label, select the…

Maybe I’m missing the point but we have some of these implemented without the tool - the only one that needs an API key is the log scraping. It’s been surprisingly cheap and if we want to swap models we can.

Re: Schedule tasks on the web

#252

Post by adobrawy »

nerptastic wrote: post #251
adobrawy wrote: post #84

Earlier quoted context omitted.

That feature was silent launched about week ago for me. I use it to: - perform review of latest changes of code to update my documentation (security policies, user documentation etc.) - perform review to latest changes of code, triage them, deduplicate and improve code - I review them, close them with comments for over-engoneering / add review for auto-fix - perform review of open GitHub issue with label, select the…

Maybe I’m missing the point but we have some of these implemented without the tool - the only one that needs an API key is the log scraping. It’s been surprisingly cheap and if we want to swap models we can.

Of course, this scheduled can be implemented on top of existing tools. However, it's incredibly convenient to have a UI where:

- you can easily edit the prompt

- you can see the prompt execution history

- you don't need any infrastructure to orchestrate it

- it works even when your computer is off

Once you start using it, it turns out to be very convenient.

Re: Schedule tasks on the web

#254

Post by delphic-frog »

The pricing discussion is interesting but I think people are missing the bigger picture. Being able to schedule agents to run tasks on a cron is genuinely usefull for solo devs who can't justify hiring someone to handle repetitive maintainence work. I've been using AI agents for image processing stuff and the autonomous loop is where it works.

Re: Schedule tasks on the web

#255

Post by nprateem »

aspenmartin wrote: post #200
skydhash wrote: post #192

Earlier quoted context omitted.

> They are demonstrably already capable of this to a large extent. I’d very like to see such demonstration. Where someone hands over a department to an agent and let it makes decisions. > This convo now turns into the "AI is not profitable and this is a house of cards" theme? Where did I say that? I didn’t even mention money, just the broader resource term. A lot of business are mostly running experiments if the curr…

> I’d very like to see such demonstration. Where someone hands over a department to an agent and let it makes decisions. That's your bar for understanding business context? I thought we were talking about what you actually said which is: understanding business context. If I brainstorm about a feature it will be able to pull the compendium of knowledge for the business (reports, previous launches, infrastructure, an u…

You make the mistake of disregarding tacit knowledge - the stuff that isn't in reports, docs, etc, etc because it's just "how we do things" and picked up on the job.

Unless the AI is inserted into every conversation it won't discover this, or how it changes.

Even if it had access to all this documented it wouldn't then be able to account for politics, where Barry who runs analytics is secretly trying to sabotage the project so it ends up run by his team, etc.

Re: Schedule tasks on the web

#256

Post by heavyset_go »

TeMPOraL wrote: post #76
heavyset_go wrote: post #59

Earlier quoted context omitted.

Feedback loops like that would be an exercise in raising garbage-in->garbage-out to exponential terms. It's the "robots will just build/repair themselves" trope but the robots are agents

Yes. Next they'll want nanobots that build/repair themselves. Oh wait. That's already here and is working fine.

Turns out we were the nanobots all along

Re: Schedule tasks on the web

#257

Post by gf000 »

spacebanana7 wrote: post #118
gf000 wrote: post #101

Earlier quoted context omitted.

> throw way more reasoning tokens and a combination of many many agents to increase accuracy or creativity and such. But this is just not true, otherwise companies that can already afford such high prices would have already outpaced their competitors.

No company at the moment has enough money operate with 10x the reasoning tokens of their competitors because they're bottlenecked by GPU capacity (or other physical constraints). Maybe in lab experiments but not for generally available products. And I sense you would have to throw orders of magnitude more tokens to get meaningfully better results (If anyone has access to experiments with GPT 5 class models geared up…

Well, how many more dogs would you need to help you write your university thesis? It's a logical fallacy to assume that more tokens would somehow help - especially that even with cursory use you would see that LLMs, once they go off the road, they are pretty much lost, and the best thing you can do with them is to give them a clear context.

Re: Schedule tasks on the web

#258

Post by heavyset_go »

g947o wrote: post #171
heavyset_go wrote: post #54

Earlier quoted context omitted.

> as soon as the gravy train stops rolling, all this intelligence will be out of access for most humans. unless some more efficient generalizable architecture is identified. All Chinese labs have to do to tank the US economy is to release open-weight models that can run on relatively cheap hardware before AI companies see returns. Maybe that's why AI companies are looking to IPO so soon, gotta cash out and leave reta…

I mean, they have been doing that for at least a year, and I haven't seen signs of US economy tanking?... You need to find some better arguments

There aren't any released open-weight models that are "good enough" yet, but Qwen-3.5 is getting really damn close to the point where more than half of my LLM usage gets routed to it.

I suspect, but don't know, some fields of inquiry will be fruitful when it comes to "good enough" small models. Especially when it comes to constrained tasks like software development. Software development models don't have to generalize to anything a chatbot can be asked or tasked with, the space it's required to generalize on is pretty small compared to literally the whole world.

If I was a betting man, I'd put my money where my mouth is, but I'm not. I am betting with my time and focus that smaller local models are worth it, and will be worth it, though.

Re: Schedule tasks on the web

#259

Post by jwpapi »

jwpapi wrote: post #120
nickandbro wrote: post #4

I feel like we are just inching closer and closer to a world where rapid iteration of software will be by default. Like for example a trusted user makes feedback -> feedback gets curated into a ticket by an AI agent, then turned into a PR by an Agent, then reviewed by an Agent, before being deployed by an Agent. We are maybe one or two steps from the flywheel being completed. Or maybe we are already there.

I just don’t see it coming. I was full on that camp 3 months ago, but I just realize every step makes more mistakes. It leads into a deadlock and when no human has the mental model anymore. Don’t you guys have hard business problems where AI just cant solve it or just very slowly and it’s presenting you 17 ideas till it found the right one. I’m using the most expensive models. I think the nature of AI might block tha…

Today a great video came about it: https://www.youtube.com/watch?v=vFUjcHhOpgA

Re: Schedule tasks on the web

#260

Post by isaacsight »

aspenmartin wrote: post #201
troupo wrote: post #196

Earlier quoted context omitted.

> So what do you think the difference is between humans and an agent in this respect? Humans learn. Agents regurgitate training data (and quality training data is increasingly hard to come by). Moreover, humans learn (somewhat) intangible aspects: human expectations, contracts, business requirements, laws, user case studies etc. > Verifiable domain performance SCALES, we have no reason to expect that this scaling wil…

> Where did I say that? I didn’t even mention money, just the broader resource term. A lot of business are mostly running experiments if the current set of tooling can match the marketing (or the hype). They’re not building datacenters or running AI labs. Such experiments can’t run forever. I'm just going to ask that you read any of my other comments, this is not at all how coding agents work and seems to be the most…

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