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Open source Kanban desktop app that runs parallel agents on every card

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141–150 of 191 posts

Re: Open source Kanban desktop app that runs parallel agents on every card

#142

I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.

No one reads code that results from this. Those who say otherwise either lie or are very bad developers which is essentially the same as not reading that code.

Re: Open source Kanban desktop app that runs parallel agents on every card

#143

Earlier quoted context omitted.

Especially if you're having an LLM write non-interactive scripts to calculate complex things from large datasets, glancing at the output is not enough to know if the output is remotely accurate (unless the output is so trivial you could literally do it in your head). Case in point: I recently asked an LLM to write a pile of code to compile historical baseball stats to test betting success against the results of my ha…

Code needs tested. I'm glad that the bar of entry has been lowered but now we just have a huge amount of people that haven't yet learned anything about how to test and verify that the code meets the expected requirements.

AI codes, AI tests, AI verifies, in a Ralph Loop ( https://github.com/snarktank/ralph ) :)

Re: Open source Kanban desktop app that runs parallel agents on every card

#146
post #76

Earlier quoted context omitted.

People already barely reviewed code, most of it was imported libraries.

The assumption used to be that you respected the library enough and believed it was well reviewed and architected by the maintainer(s). But now even that's unreliable because libraries are being slopified at an unreviewable pace too.

> The assumption used to be that you respected the library enough and believed it was well reviewed and architected by the maintainer(s).

Let us be honest, for your average dev, the assumption was that the number of github stars, npm/nuget downloads was a god proxy for quality.

Re: Open source Kanban desktop app that runs parallel agents on every card

#147

I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.

the bottleneck moves from generation to review. agents parallelize, humans review sequentially — 8 parallel cards means 8x the diffs to read, none of the timelines overlap

Re: Open source Kanban desktop app that runs parallel agents on every card

#148

Earlier quoted context omitted.

Agents still pay a penalty for complexity even if it is a smaller one.

Parsing single file is easier than navigating a file system for an LLM. Until the models have context windows large enough to hold the entire codebase in one shot, single files will beat multiple files every time.

This. I suspect the codebases in the future will be made of a small number of gigantic source files. These will be able to be transpiled into a more human friendly that produces multiple smaller files per big file in human-debug mode.

Re: Open source Kanban desktop app that runs parallel agents on every card

#149

I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.

Most of the narrative is about how AI is writing all/most code, but I’d wager that the fraction of human reviewed code is approaching zero far faster than anyone is realizing or willing to admit.

[deleted]

Re: Open source Kanban desktop app that runs parallel agents on every card

#150

Earlier quoted context omitted.

The minimum required payment to play a gambling game, where the money up for grabs is called "stake". See also "raising the stakes". In context it means the minimum feature set to be considered for adoption.

very nice response idle_zealot, it's this level of human decency in comments that keeps me coming back to HN

same — that was an unexpected little moment on HN. Honestly appreciated the answer as it caused me to stop and examine the phrase I've been using/hearing without never really thinking about it.
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