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This is pretty cool and feels like we're heading in the right direction, the whole idea of being able to hop between devices while claude code is thinking throu

This is pretty cool and feels like we're heading in the right direction, the whole idea of being able to hop between devices while claude code is thinking through problems is neat, but honestly what excites me more is the broader pattern here, like we're moving toward a world where coding isn't really about sitting down and grinding out syntax for hours, it's becoming more about organizing tasks and letting ai agents figure out the implementation details. I can already see how this evolves into something where you're basically managing a team of specialized agents rather than doing the actual coding, you set up some high-level goals, maybe break them down into chunks, and then different agents pick up different pieces and coordinate with each other, the human becomes more like a project manager making decisions when the agents get stuck or need direction, imho tools like omnara are just the first step toward that, right now it's one agent that needs your input occasionally, but eventually it'll probably be orchestrating multiple agents working in parallel, way better than sitting there watching progress bars for 10 minutes.

Dayshine 1y ago
But why should it take time at all? Newer developer tooling (especially some of the rust tools e.g. UV) are lightning fast. Wouldn't it be better if you asked for it and rather than having to manage workers it was just... Done
- jama211 1y ago
  Yes it would be good if we lived in a world where ai magically knew exactly what we wanted even before we did and implemented everything perfectly first time in a way we’d have no issues with or tweaks we’d like it to make ever. I agree.
kmansm27 1y ago
Exactly! My ideal vision for the future is that agents will be doing all grunt work/implementation, and we'll just be guiding them. Can't wait til I'm coding on the beach (by managing a team of agents that notify me when they need me), but it might take a few more model releases before we get there lol
- IncreasePosts 1y ago
  What will you have to offer when coding is so easy at that point?
  - kmansm27 1y ago
    I still think that human taste is important even if agents become really good at implementing everything and everyone's just an idea guy. Counter argument: if agents do become really good at implementation, then I'm not sure if even human taste would matter if agents could brute force every possibility and launch it into the market. Maybe I'll just call it a day and chill with the fam
- roozbeh18 1y ago
  someone at the leadership is also thinking how he/she can lower head count by removing the agent master
  - deleted 1y ago
    [deleted]
- js4ever 1y ago
  I did exactly that all this summer at the beach with Claude code. Future is already here!
- theappsecguy 1y ago
  Seems like your vision is to let AI take over your livelihood. That’s an unusually chipper way to hand over the keys unless you have a lifetime of wealth stashed away.
  - filoleg 1y ago
    It depends on what their livelihood is. If their livelihood is solving difficult problems, and writing code is just the implementation detail the gotta deal with, then this isn’t gonna do much to threaten their livelihood. Like, I am not aware of any serious SWE (who actually designs complex systems and implements them) being genuinely worried about their livelihood after trying out AI agents. If anything, that makes them feel more excited about their work. But if someone’s just purely codemonkeying trivial stuff for their livelihood, then yeah, they should feel threatened. I have a feeling that this isn’t what the grandparent comment user does for a living tho.
jama211 1y ago
Yeah exactly, this is awesome, I’ve always wondered while waiting for AI operations to complete why I’m “tied” to my machine and can’t just shut my laptop while it worked and see what it’d done later. This is so cool
kbouck 1y ago
> moving toward a world where coding isn't really about sitting down and grinding out syntax Love the idea of "coding" while walking/running outside. For me those outside activities help me clear my mind and think about tough problems or higher level stuff. The thought of directing agents to help persist and refine fleeting thoughts/ideas/insights, flesh out design/code, etc is intriguing
- sampullman 1y ago
  I do a bit of that now, I'll mostly use Claude code at home, and set Jules on some tasks from my phone while exercising. Reviewing code is tedious though, and I don't see it getting too much better.
  - calgoo 1y ago
    On the code review part, that's also because we are using languages designed for humans. Once we design the programming languages for the LLM, then you design it in such a way that code review by humans and AI is easy. Same with project org, if you organize the project for LLM efficiency instead of human efficiency then you simplify some parts that the llm have issues with.
manumasson 1y ago
> it's becoming more about organizing tasks and letting ai agents figure out the implementation details ... different agents pick up different pieces and coordinate with each other This is exactly what I have been working on for the past year and a half. A system for managing agents where you get to work at a higher abstraction level, explaining (literally with your voice) the concepts & providing feedback. All the agent-agent-human communication is on a shared markdown tree. I haven't posted it anywhere yet, but your comment just describes the vision too well, I guess it's time to start sharing it :D see https://voicetree.io https://voicetree.io for a demo video. I have been using it everyday for engineering work, and it really is feeling like how you describe; my job is now more about organizing tasks, explaining them well, and providing critique, but just through talking to the computer. For example, when going through the git diffs of what the agents wrote, I will be speaking out loud any problems I notice, resulting in voice -> text -> markdown tree updates and these will send hook notifications to claude code so they automatically address feedback.
- andhuman 1y ago
  Cool demo! The first thing that sprung to mind after seeing it, was an image of a busy office floor filled with people talking into their headsets, not selling or buying stocks, but actually programming. If it’s a blessed or cursed image I’ll let you decide.
  - manumasson 1y ago
    Haha, blursed one might say. In seriousness though, the social avoidance of wanting to talk to a computer around others will likely be the largest bottleneck to adoption for this sort of tech. May need to initially frame it as for work from home engineers. Luckily the other side to this project doesn't require any user behavioural changes. The idea is to convert chat histories into a tree format with the same core algorithm, and then send only the relevant sub-tree to the LLM, reducing input tokens and context bloat, thereby also improving accuracy. This would then also unlock almost infinite length LLM chats. I have been running this LLM context retrieval algo against a few benchmarks, GSM-infinite, nolima, and longbench-v2 benchmarks, the early results are very promising, ~60-90% reduced tokens and increased accuracy against SOTA, however only on a subset of the full benchmark datasets.

Dayshine 1y ago

But why should it take time at all? Newer developer tooling (especially some of the rust tools e.g. UV) are lightning fast. Wouldn't it be better if you asked for it and rather than having to manage workers it was just... Done

jama211 1y ago
Yes it would be good if we lived in a world where ai magically knew exactly what we wanted even before we did and implemented everything perfectly first time in a way we’d have no issues with or tweaks we’d like it to make ever. I agree.

kmansm27 1y ago

Exactly! My ideal vision for the future is that agents will be doing all grunt work/implementation, and we'll just be guiding them. Can't wait til I'm coding on the beach (by managing a team of agents that notify me when they need me), but it might take a few more model releases before we get there lol

IncreasePosts 1y ago
What will you have to offer when coding is so easy at that point?
- kmansm27 1y ago
  I still think that human taste is important even if agents become really good at implementing everything and everyone's just an idea guy. Counter argument: if agents do become really good at implementation, then I'm not sure if even human taste would matter if agents could brute force every possibility and launch it into the market. Maybe I'll just call it a day and chill with the fam
roozbeh18 1y ago
someone at the leadership is also thinking how he/she can lower head count by removing the agent master
- deleted 1y ago
  [deleted]
js4ever 1y ago
I did exactly that all this summer at the beach with Claude code. Future is already here!
theappsecguy 1y ago
Seems like your vision is to let AI take over your livelihood. That’s an unusually chipper way to hand over the keys unless you have a lifetime of wealth stashed away.
- filoleg 1y ago
  It depends on what their livelihood is. If their livelihood is solving difficult problems, and writing code is just the implementation detail the gotta deal with, then this isn’t gonna do much to threaten their livelihood. Like, I am not aware of any serious SWE (who actually designs complex systems and implements them) being genuinely worried about their livelihood after trying out AI agents. If anything, that makes them feel more excited about their work. But if someone’s just purely codemonkeying trivial stuff for their livelihood, then yeah, they should feel threatened. I have a feeling that this isn’t what the grandparent comment user does for a living tho.

jama211 1y ago

Yeah exactly, this is awesome, I’ve always wondered while waiting for AI operations to complete why I’m “tied” to my machine and can’t just shut my laptop while it worked and see what it’d done later. This is so cool

kbouck 1y ago

> moving toward a world where coding isn't really about sitting down and grinding out syntax Love the idea of "coding" while walking/running outside. For me those outside activities help me clear my mind and think about tough problems or higher level stuff. The thought of directing agents to help persist and refine fleeting thoughts/ideas/insights, flesh out design/code, etc is intriguing

sampullman 1y ago
I do a bit of that now, I'll mostly use Claude code at home, and set Jules on some tasks from my phone while exercising. Reviewing code is tedious though, and I don't see it getting too much better.
- calgoo 1y ago
  On the code review part, that's also because we are using languages designed for humans. Once we design the programming languages for the LLM, then you design it in such a way that code review by humans and AI is easy. Same with project org, if you organize the project for LLM efficiency instead of human efficiency then you simplify some parts that the llm have issues with.

manumasson 1y ago

> it's becoming more about organizing tasks and letting ai agents figure out the implementation details ... different agents pick up different pieces and coordinate with each other This is exactly what I have been working on for the past year and a half. A system for managing agents where you get to work at a higher abstraction level, explaining (literally with your voice) the concepts & providing feedback. All the agent-agent-human communication is on a shared markdown tree. I haven't posted it anywhere yet, but your comment just describes the vision too well, I guess it's time to start sharing it :D see https://voicetree.io https://voicetree.io for a demo video. I have been using it everyday for engineering work, and it really is feeling like how you describe; my job is now more about organizing tasks, explaining them well, and providing critique, but just through talking to the computer. For example, when going through the git diffs of what the agents wrote, I will be speaking out loud any problems I notice, resulting in voice -> text -> markdown tree updates and these will send hook notifications to claude code so they automatically address feedback.

andhuman 1y ago
Cool demo! The first thing that sprung to mind after seeing it, was an image of a busy office floor filled with people talking into their headsets, not selling or buying stocks, but actually programming. If it’s a blessed or cursed image I’ll let you decide.
- manumasson 1y ago
  Haha, blursed one might say. In seriousness though, the social avoidance of wanting to talk to a computer around others will likely be the largest bottleneck to adoption for this sort of tech. May need to initially frame it as for work from home engineers. Luckily the other side to this project doesn't require any user behavioural changes. The idea is to convert chat histories into a tree format with the same core algorithm, and then send only the relevant sub-tree to the LLM, reducing input tokens and context bloat, thereby also improving accuracy. This would then also unlock almost infinite length LLM chats. I have been running this LLM context retrieval algo against a few benchmarks, GSM-infinite, nolima, and longbench-v2 benchmarks, the early results are very promising, ~60-90% reduced tokens and increased accuracy against SOTA, however only on a subset of the full benchmark datasets.