Autonomous AI Dev Workflows

Dmk

Is anyone here using any AI agent frameworks/loop programs/scripts?

I’ve been using Claude Code/Gemini/Codex pretty heavily, all manual - IE I create a new Git worktree, open a new terminal start claude and go into plan mode to explain what I want. This works well, but is not automated in any fashion of course.

What I want to do is have a CLI program/script that continuously pulls from a backlog of issues and spins up agents for different stages - ultimately creating a PR for review.

There are multiple tools that do this, some seem very complex and hard to understand what they are doing/how to use it, other seem pretty close to what I want:

Has anyone tried any of these or others? What has your experience been?

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#ai #coding-agents

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2026-02-17 07:17:06 UTC

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Lucassifoni

Wow, I was thinking this to soon exist in another post yesterday, I guess it’s impossible to keep up. My next prediction will then be a simcity-like GUI to manage all of that.

I’d be curious to hear about people really using this - no judgment from me here, I really don’t manage to imagine it.

Post #1

DaAnalyst

Me neither. Actually, I keep failing to see the problem these kinds of “solutions” are trying to solve (even if they worked impeccably).

Post #2

Dmk

The problem (at least the problem I am trying to solve) is why don’t I have an agent (or agents) running 24/7 building features, fixing bugs, etc autonomously.

Whether or not this can work well enough to be useful remains to be seen. I’m happy with my current flow, but it still requires quite a bit of manually intervention, and sits idle many hours a day.

Post #3

dimitarvp

That’s a strange form of FOMO. Who is putting pressure on you to deliver 24/7, even while you sleep?

Post #4

Dmk

Haha, definitely not FOMO.

If a tool existed that could do this and do it well, I’d be very interested in trying it and seeing the results - I guess you wouldn’t?

Worst case it doesn’t help at all, best case it speeds up delivery of entire new apps/features/fixes/etc.

Post #5

dimitarvp

Of course I would, what crazy lunatic would not?

It’s the “do it well” thing that’s still under active debate. It’s very far from a given. It’s far from being proven as well. It’s very, very much in the air still.

I disagree; the worst case is that it balloons your line count by 15x and you are left holding the bag and burning through even more tokens (and through your wallet) trying to fix the mess.

In my experience during 2025, that risk is under-represented and downplayed by a lot of folk. I will not go as far as to claim it’s a conspiracy by the LLM vendors. Maybe people with sunk cost fallacy did not want to look bad so they either avoid the topic or downplay the negative outcomes.

In any case, fully autonomous agentic coding is still high-risk. That’s how it looks from where I am standing. It’s not a win-win at all, careful curation is still very much needed. And that part is still extremely difficult to automate or outsource to other agents (though that latter part might be already changing).

Post #6

allen-munsch

@Dmk I have not, I don’t have the personal budget to burn several hundred dollars a day, or the bandwidth of attention. I have a very small brain, and very little attention. There isn’t anything new or particularly novel about the idea, see prior work with: MetaGPT honestly gas town seems like a troll post with sparkle emojis

Additionally, the security implications are kinda insane, and reviewing the AI reviewers of the AI reviewers, when does it end, a never ending firehose of PRs to sign off on?? no thanks.

I think more lines of code is not the only metric for quality of life improvements. Maybe if the gas town idea was more efficient, and usable by regular people, would I consider the idea, as of right now it’s a dead end for general computing, imo.

The best features are no features at all.

It’s like at a certain point you can only scale so far vertically, and horizontally, before looking inwards and considering optimizations as the biggest win, additionally in the sense of visual programming, UML, BPM, do we care what is inside the blackbox programming paradigm? there is a balance between abstraction and introspection, and wholesale token generation to replace a 50MB blackbox with the inputs ( thing: str ) and the output → void print thing, which literally is just a print hello world

https://arxiv.org/pdf/2512.24601

Hence the reason I’ve been focused on this: https://zypi.neocities.org/

Post #7

Dmk

Agreed. I want to explore it though, hence asking if anyone has tried any of the existing tools, and what their results have been.

Also agree with this. But worst case is that you try it, it yields this result, and you say no thanks. You don’t have to accept it or use it. Worst case isn’t blindly accepting the output.

Post #8