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Show HN: Share your AI Setup, Learn from others

223 points by steveybrown 15d ago

I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck or been thrown out the window? How did they manage longer-running tasks? So I built this with the hope we could have a dedicated space to share and be open about our setups.

patabyte 15d ago
This is a wonderful idea - didnt know I was looking for this until I started browsing. I found it helpful with surfacing that which I didnt-know-I-didnt-know. Thank you for putting this together!
fenaer 15d ago
I was immediately hoping for some local-AI setups that do real work, on limited resources. Unfortunately it looks like this is still waiting on more people to share.
- gentile 15d ago
  Not a SWE, but I do Freetoken (backend) + unsloth (front) to run qwen 3.6 35B A3B NVFP4 (~20GB) in 8GB VRAM + ~20GB RAM. Getting around 50 t/s on a 3070. I don't think I can even share through this site.
  - scoring1774 15d ago
    If not coding what do you use it for? Also what kind of performance do you tend to get out of it? I've been thinking about a similar setup but am skeptical it's worth the effort.
    - gentile 15d ago
      It's still typically for code, like python data stuff, bash scripts, general web search, small javascript stuff for my website. By saying not SWE, I mean I don't really see much benefit from "agentic" stuff, although I've tried. 50 t/s means 40~60 seconds for a typical thinking response. I used to run gemma 4 e4b-it-qat fully in GPU (~150 t/s), but the quality improvement moving to a much larger MoE model was 100% worth the switch. Especially because I had a lot of idle ram (from the before times :( ). There is some tradeoff in terms of context length, but I just use it as a chat. Also it's fairly trivial to setup as long as the GPU is supported.
vegadw 15d ago
This feels self-selective to how some people work, because it requires using MCP to contribute. I'm a reasonably heavy AI user, and have some custom skills/MCP servers I'd share, but there is no way in hell I'm connecting to some arbitrary MCP server and connecting my Github account to it. Noppppeeeee.
- xnx 15d ago
  Agree. I was going to type in my setup, but no way I'm touching the instructions on https://mysetup.ai/connect https://mysetup.ai/connect. Also I don't use Codex, Claude, or Pi.
  - mixtureoftakes 15d ago
    There has to be a much better way to share your setup
    - xnx 15d ago
      Any setup that is longer than a sentence or two of plain text is almost certainly overcomplicated.
      - vegadw 15d ago
        Not really? I have some custom skills/MCP servers I use: one MCP server for using https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cleaning-the-web/ https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cl... ran locally so that reading web pages is cheaper and uses up less context One MCP server for doing automated code quality checking, using Valknut, Jscpd, and Lizard to output scores, combine/aggregate them. That's then give to the model so that it can see if there's a mess of code dupe or if there was significant architectural regression. It's allowed to say "This is worth it" but it ground it a bit and stops really stupid, short sighted, hacked-in features Another uses https://github.com/thejens/id-token-nicer https://github.com/thejens/id-token-nicer so that the model doesn't bork a big ID without being noticed. It's told to translate in and out of that as necessary. I had it write it's own skill for making sure to follow some sane commenting/style guides per language, that way it doesn't just give me massive files with no comments. Finally, a last one lets Antigravity or Codex call out to local models as workers, for long running background tasks where a cheap, dumb model is fine. Saves on overall token usage. I also have a few skills from the internet setup. https://github.com/AlmogBaku/debug-skill https://github.com/AlmogBaku/debug-skill being the most important one. On top of that, the way people work is notable: Do you use worktrees for agents? Why/why not? Do you have only one subscription? What level? I'm using both Codex at $20/mo and Antigravity at (promo) $5/mo right now. Antigravity's TOS says you MUST use their harness, which informs some of my skill setup/workflow. Do you make your agents.md self modifying, write it yourself, or not use one at all? Do you use a sandbox or YOLO it? Even just how you prompt matters. On Antigravity/Gemini, I can give it a big list-o-TODOs and have it make a very detailed implementation plan itself, carry it out, and generally do the thing, all unsupervised. Codex, from what I have experienced, isn't as good at that. Doing the planning as a separate step, writing to a file, then telling it to step-by-step it with commits for each step makes it work okay again though.
jmkni 15d ago
"What's the craic" immediately jumped out at me, of course you're from Belfast :) Cool project!
hnp9j9qtda 15d ago
The setups I wrote down three months ago are already half wrong, tools churn that fast. Do entries show a last-updated date so I can tell what's stale?
- mystifyingpoi 15d ago
  Just ask AI to update it /s
deleted 15d ago
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agambrahma 15d ago
Archive.org view => https://web.archive.org/web/20260917144911/https://mysetup.ai/ https://web.archive.org/web/20260917144911/https://mysetup.a...
saadn92 15d ago
my setup heavily involves using tailscale to secure everything, because a lot of the tools I have are internal and need to be protected at all costs. tailscale is so awesome! highly recommend to secure your networks
- vegadw 15d ago
  What internal tools are you having the LLM access? I have a server, but I just host whatever MCP servers and what not on device, not on the server. I also pretty much exclusively work at my desktop - if you use multiple systems I can see where this matters.
  - saadn92 15d ago
    just certain dashboards that display my personal financial information, housing stuff, and some goals/trackers I have around projects I run. I do work mainly on my desktop, but let's say I'm traveling right, I'd have to turn it off and was missing access to some pretty important information, so I ended up getting a VM and hosting some of those things on there instead. I still use both, but things I want available, I'll host it on my "homelab" and secure both machines via tailscale. it's pretty easy and it ensures that only my phone, my main mac, and my homelab have access to each other and nothing else.
- rmazzolini 15d ago
  I use tailscale + https://herdr.dev/ https://herdr.dev/ with ssh to connect my laptop/phone. For my phone I have tailscale + https://termrover.sh/ https://termrover.sh/, but https://getmoshi.app/ https://getmoshi.app/ is also pretty good (herdr integration is paywalled).
  - saadn92 15d ago
    neat, I'll check this out! I usually just use Termius via tailscale for ssh
river_otter 15d ago
Love the idea! Would love it if you could add a method to share your setup that doesn't involve MCP... I don't use MCP servers in my setup but I wish that didn't then exclude me from being able to share my setup.
- steveybrown 15d ago
  Consider it done :) Manual now available - looking forward to seeing it.
  - river_otter 15d ago
    yay thank you! Added it.
deleted 15d ago
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sanex 15d ago
Are people actually paying API pricing for claude to hook it up to Pi or openclaw or is there a secret trick? The subscription price is palatable but for me the token price generally isn't.
- rmazzolini 15d ago
  I'm using https://pi.dev/packages/pi-claude-agent-sdk https://pi.dev/packages/pi-claude-agent-sdk to use the claude sub, but it has the drawbacks of being forced through the claude-sdk. You would still be using the claude system prompt etc., which is one of the main reasons I started using Pi over claude-code. For my workflow I primarily use a Codex subscription, but farm out adversarial reviews to Fable to clean up unnecessary gpt-ish code (lots of over-engineering). All my UI planning is done with fable, but implemented with OAI agents once I have a solid very specific plan.
  - sanex 15d ago
    Ah perfect thanks. I have codex for personal projects but Claude at work and they get mad if I start going into extra usage. Claude code does most of what I need but would be nice to get another layer of abstraction so I could have like a chief of staff agent that manages the separate coding teams working on features.
OtherShrezzing 15d ago
It'd be useful to see "approx monthly cost" or something similar. I love seeing other people's setups, but the first post I clicked on describes at least $400/mo in subscription plans.
- RomanKornev 13d ago
  Median token spend has been going up across the industry. Even if the next batch of tokens makes you 1% more productive it's still worth it. And subs are cheap compared to api pricing.
jsisto 15d ago
this would be cool to be extended to local AI configs
nowittyusername 15d ago
I been working and making things with AI agents since Windsurf days, here's what works for me after experimenting and working for a while with these things. As far as the agent goes I find whatever the latest OpenAI model is out worked best for me. This company has burned me the least and I like the models. I tried many but consistency of OpenAI models cant be beat IMO. Though we are post honeymoon phase now I feel like so I am now experimenting with cheaper alternatives like Deepseek 4.1 flash and so on. I don't trust Anthropic as the downgrade my models consistently and its rare i get to use what I pay for. I wont even get in to discussing Google agents for obvious reasons, grok I never used though Grok bot looks interesting. For skills I make my own, but most important is the custom setup i have. Voice is how I use all of my agents. I have an extremely well optimized voice setup that i custom built so I can talk to my agents and also hear them. The voice stack itself is very low latency and high quality. asr (parakeet v3), tts (omnivoice) take no more then 400-450 ms total as far as latency budget is concerned, rest is on the agents actual decode speed. IMO this setup is crucial for all antigenic work, i can express myself a lot better with speech and also give a lot more context and nuance with voice, i rarely type. I still look at the terminal window because my agent knows to keep the technical details in text form versus barfing them at my voice channel, plus terminal gives me lots of other important data about the agents direction and what hes doing, nothing custom here though. I cant emphesise how important voice is though, it has to be practiced to really understand. As the models got better I now trust them with longer and longer tasks though I still don't use /goal feature as it has never worked out well for me. Theres no need for micromanagement any more but you still need to be there to steer the ship somewhat. BTW, codex cli compaction is garbage so I made my own custom implementation that works a lot better and allows the thread to be used indefinitely without issues. I strongly suggest everyone makes a new thread after extensive use if you havent made your own implementation. Theres about a billion other things I could get in to like subagents, cohort groups, orchestration layers, etc... But this is a good start imo.
- gnarcoregrizz 15d ago
  Tried voice, I can never get it to translate technical names well, e.g. "systemctl", weird paths, etc.
shrikant 15d ago
As always with smallish tools/services like these whipped up with an LLM, I find there's more value in seeing the "source code", i.e. the prompt itself. Turns out it's quite useful in this instance, and I just made a small couple of tweaks to get a summary of my own workflow. FWIW, this is what I modified it to: Help me share how I work with AI with my teammates. Use our existing conversations and relevant local tools within my permissions to discover my agents, harnesses, skills, connections and working practices. Keep secrets, raw configuration and private project details out of the draft. Explain how my tools work together and develop a concrete workflow where the evidence supports it, rather than listing installed software. Draft from what you know without a questionnaire; ask one short question only if an essential gap prevents a useful draft. If local inspection is unavailable, use our conversation without claiming otherwise. Save a private draft, show me the exact preview, and wait for my explicit approval before publishing.
VCFundedGenYer 15d ago
If a site like reddit gates off its content, you expand all comments, CTRL A, CTRL C, and paste into a text file that you feed into the bot. I do this for a lot of things actually. If the bot can't see/read something, take the content and dump it to a file, then have the bot read that. Gets around a lot of red tape of asking for approval for "integrations" or when companies are snippy.
mohd_rafay 15d ago
[flagged]
adityamishra241 15d ago
[flagged]
realjohng 15d ago
Do you plan to synthesize the data and show top 2 Popular setups? This would be for newbies who want to start with a powerful setup, and for those looking to discover new tools. Thanks!
petesergeant 15d ago
I don't especially want to interact with the site, but I have built two tools: An agent sandbox: https://github.com/pjlsergeant/byre https://github.com/pjlsergeant/byre -- a truly gigantic amount of thought and effort has gone into it. It's really focused on developer experience. I have used it all day every day for really quite a while. It's a low-magic wrapper over Docker / Podman. I would encourage you to ask your agent to code-review it! An agent-to-agent message board: https://github.com/pjlsergeant/dogpark https://github.com/pjlsergeant/dogpark -- this is much less mature, but a good amount of thought has gone into the design, so if that's something you need, please check it out.
- zargon 15d ago
  I have a tendency to use documentation as a quality bar. Byre might be great but I can't continue reading this slop.
  - deleted 15d ago
    [deleted]
RIMR 15d ago
Locking this to X accounts destroys nearly all of the value for me, because the data is limited to only setups from people who are still using X. Given how overtly authoritarian and hateful the general rhetoric is on that site, this narrows it down to only a specific kind of person's setup. Given the context of what X is, one can largely assume that X account holders are biased, at least to the degree that they can tolerate the toxic rhetoric elevated by that site and it's owner. All of the smartest, most effective people I know don't have X accounts anymore on ethical grounds, and don't miss it. If a data source specifically excludes the kinds of people I respect most, that data source is all but useless to me.
- sathish316 15d ago
  Isn’t this on GitHub login? I didn’t need to use X to login
edude03 15d ago
Maybe off topic - I really like the design of the site, it feels like it was designed with care which (no offence) is often not the case with AI focused websites. Was it hand designed, or just the right claude design prompt?
- steveybrown 15d ago
  Astra + Fable certainly built it, but I knew the design I wanted as an outcome, rather than iterating with models without a clear end goal. When people do the latter, I feel it's easy to spot an AI design.
saasrivals 15d ago
[flagged]
forthwall 15d ago
Can't most agents just self-add their own MCP servers now, would be nice to just have a universal prompt for more complex agents, not everyone just uses claude/codex/pi!
- datadrivenangel 15d ago
  Absolutely not. This is inherently insecure.
daudmalik06 15d ago
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hackmack10 15d ago
20 year industry vet here. Yeah, no thank you. In the age of AI, developer productivity and job security will involve your proprietary workflow. It no longer makes sense to share your knowledge with the world. I'd highly advise people don't do this.
- lolakutty 15d ago
  > involve your proprietary workflow. Until the next model update...
  - hackmack10 15d ago
    This is true. I also think part of your job security will be constantly racing on this treadmill to make sure you're able to incorporate that next model (if applicable). Meaning incorporate your tools, existing knowledge, harnesses, configs etc...
- deleted 15d ago
  [deleted]
- twKrash 15d ago
  20 years ? already vet ? I though that I'm still young :)
- yokoprime 15d ago
  I've also worked 20 years in the industry, and if feel completely the opposite. Having a great setup and pipeline that works for you is a huge plus, but nothing can replace the intuition and knowhow you have built up with experience. Sharing is still caring, and we should not stop caring
  - hackmack10 15d ago
    Serious question, why? Nobody gives a fuck if I'm out of a job, especially OpenAI and Anthropic. They stole the worlds knowledge to put us out of a job and arguably took away what it means to be a human. Why should I contribute anything more to that? Solving hard problems will be the only thing that separates you from others. Your mindset and tools should be a trade secret at this point.
twKrash 15d ago
My local setup is: - Windows - WizzTerm - `herdr` + `Pi` harness + codex for 20$ It's hard to maintain the 5h limits, however I found out that with some plugins + using model luna:max can be really helpful. With distinct and accurate tasks I was able to reduce costs a lot and now my 5h limit just resets without beeing fully used. As a fallback I have qwen3.8 27B and deepseek-flash
- twKrash 15d ago
  Ok, here it is (used MCP): https://mysetup.ai/u/twkrash https://mysetup.ai/u/twkrash
lbrito 15d ago
My local setup: I begrudgingly open `claude` on a terminal, hate it for 8 hours, then turn off my computer and forget it exists. Rinse and repeat
- ivanjermakov 15d ago
  "Industry standard"
- DerArzt 14d ago
  Who told you how I work? I thought it was a closely guarded secret?
- brumbelow 14d ago
  Peak efficiency
alp82 15d ago
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- wiether 15d ago
  > a bit too minimalistic for my liking I was going to say the opposite: on opening a user page, half the screen is empty/with uninteresting content. Then the actual content use big font, huge spacing. You have to scroll while everything could fit in a single screen. I don't know how to express it but I feel exhausted trying to consume the content.
katspaugh 15d ago
Nice project! Here’s my setup: https://mysetup.ai/u/katspaugh https://mysetup.ai/u/katspaugh Mostly vanilla Claude but inside a VM.
iAMkenough 15d ago
I don't know who any of these people are, couldn't find a way to search/filter by hardware, then promptly bounced out.
- steveybrown 14d ago
  You can now search by hardware to find similar setups - great suggestion, whether it was intentional or not - thank you.
  - iAMkenough 14d ago
    Nice work!
8cvor6j844qw_d6 15d ago
These setups tend to be very specific to someone's workflow and stack, so attempting to follow them may be more detrimental than useful.
selicos 15d ago
So I have to connect over MCP or log into github through the page to share anything? How about being able to post a markdown summary of my setup instead of plugging my credentials and tools into a third party site? Strix HALO 128gb - Framework mainboard in a custom SFF PC. Just moved from Ubuntu to Fedora 44. Using: LM Studio (primary), Lemonade, not yet got into vLLM and llama.cpp directyly after moving to Fedora. Running Gemma e4b, Gemma 4 26b a4b IT, Qen 3.6 35b a3b, and Qwen 3.8 27B. I want to get Qwen 3.8 Next or similar large models working but have to dedicate the system to that vs running services and smaller models for them. Subwave is all I'm actively running against the local LLMs, but I have vscode connected through a few extensions and chat tools (I've added LM Studio to Copilot Chat but it likes to use cloud models and burn tokens sometimes). I've also set up pi, Openhands, and a few other tools but haven't had a project to work on with them. I built an app to track and move PC parts I own between systems, partially to build a better LLM server. The next hardware goal is adding a 3060 12gb for inference, or what can be run on that vs in system memory on the Strix Halo. That will need a dock or small PCIe extension cable. My employer has us using Copilot a lot, and it works well enough if you are efficient or set up already. I do infra not development and local models are seemingly enough for most asks like automation scripting.
- steveybrown 15d ago
  You can post Markdown through the editor, but yes, it requires signing in. I took the liberty of treating your comment as a submission. https://mysetup.ai/setup-selicos-example https://mysetup.ai/setup-selicos-example
ig0r0 15d ago
This is so complicated, I would have to install mcp-adapter to Pi etc. I just have a public github repo with my Pi setup https://github.com/igorkulman/pi-skills https://github.com/igorkulman/pi-skills
zraiq 15d ago
[flagged]
tensor 15d ago
Am I the only one using zed? Mostly I use it with Mistral but I also have deepseek in there. I find a good workflow is to store issues in markdown files and write thorough issue descriptions that reference relevant files. Then I can just ask the zed agent to implement the issue and it works pretty well.
johnsmith1840 15d ago
Ec2 + codex or claude and tmux so you can move about. Control EC2 permissions outside the node. Not really much value beyond that. Only layer beyond this I want is the permission scoping, stronger sandboxing per session and centralized control. I have not seen a clean product around this though where I own the compute.
- adunsulag 15d ago
  I've been developing my own sandboxing environment using Nvidia's Openshell. Works like Claude code but with stronger guarantees for me on file system and network access. Still playing around with it, but so far I've been liking the setup. I still run the sandbox inside a VM for now, but I feel far more comfortable in running Claude Code in unsupervised mode because I restrict the outbound network access and secrets never hit inside the sandbox.
  - johnsmith1840 14d ago
    Why not a virtual machine or container? I'm playing around myself with some but can't shake that a VM is the right shape for it. That's my infra brain though.
- ahmed89 13d ago
  Is that mainly an EC2/shell problem for you or does the same session end up touching things like GitHub, AWS, MCP or other systems too?
cvdub 15d ago
Is there any way to upload images? People will appreciate my setup a lot more of they can see what it looks like
- steveybrown 15d ago
  Added support for images, markdown toolbar icon is now available. Looking forward to seeing it.
copperx 15d ago
craic? really?
paul7986 15d ago
A few software engineer friends' employers are requiring them to point AI (Claude) at Jira tickets to complete their tasks. Are your companies requiring this too, and how effective are the current models at actually completing the work precisely?
- platevoltage 15d ago
  This is a thing? So have software engineers been relegated to being the employee at Whole Foods that babysits the self checkout kiosks?
  - paul7986 15d ago
    I just saw two facebook friends post about it and asked the OP how successful the latest models are and he said it isnt a mess just some fixes here and there are needed. I was wondering if other employers are asking their SWE to do the same?
overclock-api 15d ago
[flagged]
practicalsystem 15d ago
neat idea, I'm in there as @ucsandman!
thoughtpeddler 15d ago
Wait, why can't you search by tool instead? It's just people-first? Cool idea but try harder for your v1!
- steveybrown 15d ago
  Added search for you.
  - thoughtpeddler 15d ago
    OK, I have to say, that was extremely fast and you are giving this v1 some good effort. Thank you!
topaz0 15d ago
My setup: '()
niccl 15d ago
I'd love to see some sort of histogram of different styles of AI usage for coding: how many people just use Chat v Claude v something fancy that I don't know about v something even fancier that I don't know about v ... And if there were a dimension of day-job v personal use, I'd be even happier Does anyone know if such a thing exists
eggplantemoji69 15d ago
I use $20 cursor plan and use the agent UI for prompts, jetbrains ide for general file browsing + reviewing diffs. This has been my sweet spot to maintain understanding while still leveraging LLM benefits.
gos9 15d ago
It’s on my computer and I use it to do stuff
demeyer1 15d ago
It’s called Autobot, it’s designed to get as close as I could reasonably get to a real world Iron Man Jarvis. WHAT IT DOES OSS/MIT Harness that helps agentic tasks run for up to 4 days using without performance degradation. Designed to work really well in native, conversational voice mode. Does a good job with knowledge work, managing computer use “leases” in a way that avoids conflicts across sub agents.. or deploying an entire AWS infrastructure pattern from zero and launching 100 different VM images. HOW IT DOES IT Uses a canonical event ledger, heartbeat (for persistence by low cost orchestration), extends foundation memory to encrypted disk storage, and manages its own scheduling system (easier to switch to another platform). Installs as a project, so very easily. Zero config. No special app, access needed. Accompanying repos have the skills to disable approvals inherent to the foundation models (use with caution, not advised - separate repo under parent). BENCHMARKS Currently top of AssistantBench Leaderboard; and, benchmarked at the top of OS World 2.0, the hardest knowledge work computer use benchmark I could find, using a model that is one generation behind. All benchmarks in repos with cryptographic seals. Entirely free, nothing to sell - it’s been a game changer for me, so I’m just putting it out there. Hoping to find others also working on pushing this particular dimension of harnesses forward. CHECK IT OUT https://github.com/demeyer1/Autobot/graphs/traffic https://github.com/demeyer1/Autobot/graphs/traffic
garethsprice 15d ago
Nice idea. https://mysetup.ai/u/gareth https://mysetup.ai/u/gareth - tried to include useful hints for others (screenshots, token/sec results, monthly costs, etc). Interesting to see how many people are spinning up custom workflows and factory-type patterns that run alongside AI coding tools (myself included). Would love to see this collated into a regular survey to pick out trends. And an RSS/Atom feed or API so I can have an agent watch it :D
- leohonexus 15d ago
  This is an exceptional setup, thank you for sharing it! I have a few questions: 1. This setup seems work-heavy. Are there any personal AI workflows that you've implemented to advance your personal goals / hobbies? 2. As one of the few people with a software factory, how well do you think it works in practice? Do you implement any rule that lets the agents to work on tickets only up to a certain complexity, or do you let the human review be the gatekeeper? 3. As CTO, how do you weigh implementing these agent workflows for yourself versus implementing them team-wide? Do you see your setup as a testbed of ideas for your team? On a meta note, I love seeing others share their setups and I'll probably do the same later.
  - garethsprice 14d ago
    1. As a co-founder, there is not much time for hobbies and that is part of the deal. Plus local inference is my hobby, at least at this point in the game. The free time I do get I prefer to spend offline and outside with my partner. I have asked Claude for relationship advice (which it is good at) but no workflows around this (and I think that would not go down well). 2. Early days, the tooling is not quite there yet. I think this is the future of engineering, the days of hand-crafting code - and probably reading it - are gone forever. It generates a LOT of tokens, but that is OK when they are cheap enough as long as the result is consistent. Speed is not so important which is great for local inference - can leave it running overnight and come back to a bunch of completed work even if it took hours. I manually tag a ticket for automation in Linear. Experimented with having a separate skill that looks for automatable tickets and auto-tagging them, worked well, but having enough work for it to do is not the bottleneck compared to 1) having enough triaged, well-written work ticketed out, 2) reviewing its output. There's articles out there about arranging work into tiers based on complexity/risk, with the lower-end being fully automated to free up time for humans to focus on the high-end. Not had time to work on this much but that's probably where I will go. A second human has to approve every PR in our repos (good practice and also a requirement for SOC2, which will impede any fully-automated pipeline adoption in regulated industries). I also do a first-read of the draft PR to make sure it is good quality, as I am ultimately responsible for the work my agent creates and to shift the responsibility of first-look (for any AI output) to another person is disrespectful to their time and inefficient. Hence "glass-factory" as the "Dark Factory" pattern is a black box with no human intervention, but I think that is not something suitable for how teams build software products for real users presently, at least in the near future. 3. Forcing something on people is a good way to have them reject it. I hire professionals to achieve a goal and they have agency in how to achieve it. I encourage everyone to share their work internally (demos, repos, etc) and things that are truly beneficial to people's workflows gain traction quickly. As a result we have many experiments and a culture of rapid innovation that encourages people to try new things. Negatively, this creates a proliferation of wheel re-inventing that eventually benefits from consolidation (eg. do we really need 3 people's personal apps monitoring ETL pipelines). But we are also in this emerging age of personal software where it seems to make most sense to consolidate at the API or documentation layer and let people - engineers and even business-side now - continue to vibe-code their own workflow-specific apps. The precedent has been to build generalized software for an audience as it was expensive and time consuming to build, but when software is cheap and fast to build it may make more sense for the user-facing application layer to be made up of many small ephemeral applications that are only useful for one individual, that change rapidly as their needs change. tl;dr: Not forcing anyone to use it as it's still experimental, yes personal experimentation is hopefully the basis of successful ideas that will be adopted by the team when they provide real benefits to their work.
tha_hnrain 15d ago
"Explore this setup with your agent →" : No, No. I'll never point my AI to an unknownn, prepared place just to explore it. This link should be flagged. Besides, are our brains so fr rooted that we cannot read and comprehend anymore? Not even a (sloppy) AI-generated description?
LJGNYC 15d ago
Can anyone recommend a setup for a 4090 + 32gb ram that will be at least somewhat similar to the experience of Claude code?
vladsiu 15d ago
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skinnychef 14d ago
Well, not a dev here, so my primitive setup is to have an alias in my .bashrc that launches firefox with the prompt added to the Google AI mode, so all I have to do is Super+T (terminal), type 'ai' followed by my query. For laughs, this also allows to bake in response styles: query="$*" base="Respond like Dr. House, do not hold back the profanities; " I also have an even shorter alias for '?' using fabric that answers right in the same terminal, that I learned from Mischa Vandenburg: echo "$*" | fabric --model gemini-2.5-flash --pattern ask_ai that one I use my own API key so it costs some small amount per use.
th0t3p 12d ago
[flagged]

223 points by steveybrown 15d ago

patabyte 15d ago

This is a wonderful idea - didnt know I was looking for this until I started browsing. I found it helpful with surfacing that which I didnt-know-I-didnt-know. Thank you for putting this together!

fenaer 15d ago

I was immediately hoping for some local-AI setups that do real work, on limited resources. Unfortunately it looks like this is still waiting on more people to share.

gentile 15d ago
Not a SWE, but I do Freetoken (backend) + unsloth (front) to run qwen 3.6 35B A3B NVFP4 (~20GB) in 8GB VRAM + ~20GB RAM. Getting around 50 t/s on a 3070. I don't think I can even share through this site.
- scoring1774 15d ago
  If not coding what do you use it for? Also what kind of performance do you tend to get out of it? I've been thinking about a similar setup but am skeptical it's worth the effort.
  - gentile 15d ago
    It's still typically for code, like python data stuff, bash scripts, general web search, small javascript stuff for my website. By saying not SWE, I mean I don't really see much benefit from "agentic" stuff, although I've tried. 50 t/s means 40~60 seconds for a typical thinking response. I used to run gemma 4 e4b-it-qat fully in GPU (~150 t/s), but the quality improvement moving to a much larger MoE model was 100% worth the switch. Especially because I had a lot of idle ram (from the before times :( ). There is some tradeoff in terms of context length, but I just use it as a chat. Also it's fairly trivial to setup as long as the GPU is supported.

vegadw 15d ago

This feels self-selective to how some people work, because it requires using MCP to contribute. I'm a reasonably heavy AI user, and have some custom skills/MCP servers I'd share, but there is no way in hell I'm connecting to some arbitrary MCP server and connecting my Github account to it. Noppppeeeee.

xnx 15d ago
Agree. I was going to type in my setup, but no way I'm touching the instructions on https://mysetup.ai/connect https://mysetup.ai/connect. Also I don't use Codex, Claude, or Pi.
- mixtureoftakes 15d ago
  There has to be a much better way to share your setup
  - xnx 15d ago
    Any setup that is longer than a sentence or two of plain text is almost certainly overcomplicated.
    - vegadw 15d ago
      Not really? I have some custom skills/MCP servers I use: one MCP server for using https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cleaning-the-web/ https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cl... ran locally so that reading web pages is cheaper and uses up less context One MCP server for doing automated code quality checking, using Valknut, Jscpd, and Lizard to output scores, combine/aggregate them. That's then give to the model so that it can see if there's a mess of code dupe or if there was significant architectural regression. It's allowed to say "This is worth it" but it ground it a bit and stops really stupid, short sighted, hacked-in features Another uses https://github.com/thejens/id-token-nicer https://github.com/thejens/id-token-nicer so that the model doesn't bork a big ID without being noticed. It's told to translate in and out of that as necessary. I had it write it's own skill for making sure to follow some sane commenting/style guides per language, that way it doesn't just give me massive files with no comments. Finally, a last one lets Antigravity or Codex call out to local models as workers, for long running background tasks where a cheap, dumb model is fine. Saves on overall token usage. I also have a few skills from the internet setup. https://github.com/AlmogBaku/debug-skill https://github.com/AlmogBaku/debug-skill being the most important one. On top of that, the way people work is notable: Do you use worktrees for agents? Why/why not? Do you have only one subscription? What level? I'm using both Codex at $20/mo and Antigravity at (promo) $5/mo right now. Antigravity's TOS says you MUST use their harness, which informs some of my skill setup/workflow. Do you make your agents.md self modifying, write it yourself, or not use one at all? Do you use a sandbox or YOLO it? Even just how you prompt matters. On Antigravity/Gemini, I can give it a big list-o-TODOs and have it make a very detailed implementation plan itself, carry it out, and generally do the thing, all unsupervised. Codex, from what I have experienced, isn't as good at that. Doing the planning as a separate step, writing to a file, then telling it to step-by-step it with commits for each step makes it work okay again though.

jmkni 15d ago

"What's the craic" immediately jumped out at me, of course you're from Belfast :) Cool project!

hnp9j9qtda 15d ago

The setups I wrote down three months ago are already half wrong, tools churn that fast. Do entries show a last-updated date so I can tell what's stale?

mystifyingpoi 15d ago
Just ask AI to update it /s

deleted 15d ago

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agambrahma 15d ago

Archive.org view => https://web.archive.org/web/20260917144911/https://mysetup.ai/ https://web.archive.org/web/20260917144911/https://mysetup.a...

saadn92 15d ago

my setup heavily involves using tailscale to secure everything, because a lot of the tools I have are internal and need to be protected at all costs. tailscale is so awesome! highly recommend to secure your networks

vegadw 15d ago
What internal tools are you having the LLM access? I have a server, but I just host whatever MCP servers and what not on device, not on the server. I also pretty much exclusively work at my desktop - if you use multiple systems I can see where this matters.
- saadn92 15d ago
  just certain dashboards that display my personal financial information, housing stuff, and some goals/trackers I have around projects I run. I do work mainly on my desktop, but let's say I'm traveling right, I'd have to turn it off and was missing access to some pretty important information, so I ended up getting a VM and hosting some of those things on there instead. I still use both, but things I want available, I'll host it on my "homelab" and secure both machines via tailscale. it's pretty easy and it ensures that only my phone, my main mac, and my homelab have access to each other and nothing else.
rmazzolini 15d ago
I use tailscale + https://herdr.dev/ https://herdr.dev/ with ssh to connect my laptop/phone. For my phone I have tailscale + https://termrover.sh/ https://termrover.sh/, but https://getmoshi.app/ https://getmoshi.app/ is also pretty good (herdr integration is paywalled).
- saadn92 15d ago
  neat, I'll check this out! I usually just use Termius via tailscale for ssh

river_otter 15d ago

Love the idea! Would love it if you could add a method to share your setup that doesn't involve MCP... I don't use MCP servers in my setup but I wish that didn't then exclude me from being able to share my setup.

steveybrown 15d ago
Consider it done :) Manual now available - looking forward to seeing it.
- river_otter 15d ago
  yay thank you! Added it.

deleted 15d ago

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sanex 15d ago

Are people actually paying API pricing for claude to hook it up to Pi or openclaw or is there a secret trick? The subscription price is palatable but for me the token price generally isn't.

rmazzolini 15d ago
I'm using https://pi.dev/packages/pi-claude-agent-sdk https://pi.dev/packages/pi-claude-agent-sdk to use the claude sub, but it has the drawbacks of being forced through the claude-sdk. You would still be using the claude system prompt etc., which is one of the main reasons I started using Pi over claude-code. For my workflow I primarily use a Codex subscription, but farm out adversarial reviews to Fable to clean up unnecessary gpt-ish code (lots of over-engineering). All my UI planning is done with fable, but implemented with OAI agents once I have a solid very specific plan.
- sanex 15d ago
  Ah perfect thanks. I have codex for personal projects but Claude at work and they get mad if I start going into extra usage. Claude code does most of what I need but would be nice to get another layer of abstraction so I could have like a chief of staff agent that manages the separate coding teams working on features.

OtherShrezzing 15d ago

It'd be useful to see "approx monthly cost" or something similar. I love seeing other people's setups, but the first post I clicked on describes at least $400/mo in subscription plans.

RomanKornev 13d ago
Median token spend has been going up across the industry. Even if the next batch of tokens makes you 1% more productive it's still worth it. And subs are cheap compared to api pricing.

jsisto 15d ago

this would be cool to be extended to local AI configs

nowittyusername 15d ago

I been working and making things with AI agents since Windsurf days, here's what works for me after experimenting and working for a while with these things. As far as the agent goes I find whatever the latest OpenAI model is out worked best for me. This company has burned me the least and I like the models. I tried many but consistency of OpenAI models cant be beat IMO. Though we are post honeymoon phase now I feel like so I am now experimenting with cheaper alternatives like Deepseek 4.1 flash and so on. I don't trust Anthropic as the downgrade my models consistently and its rare i get to use what I pay for. I wont even get in to discussing Google agents for obvious reasons, grok I never used though Grok bot looks interesting. For skills I make my own, but most important is the custom setup i have. Voice is how I use all of my agents. I have an extremely well optimized voice setup that i custom built so I can talk to my agents and also hear them. The voice stack itself is very low latency and high quality. asr (parakeet v3), tts (omnivoice) take no more then 400-450 ms total as far as latency budget is concerned, rest is on the agents actual decode speed. IMO this setup is crucial for all antigenic work, i can express myself a lot better with speech and also give a lot more context and nuance with voice, i rarely type. I still look at the terminal window because my agent knows to keep the technical details in text form versus barfing them at my voice channel, plus terminal gives me lots of other important data about the agents direction and what hes doing, nothing custom here though. I cant emphesise how important voice is though, it has to be practiced to really understand. As the models got better I now trust them with longer and longer tasks though I still don't use /goal feature as it has never worked out well for me. Theres no need for micromanagement any more but you still need to be there to steer the ship somewhat. BTW, codex cli compaction is garbage so I made my own custom implementation that works a lot better and allows the thread to be used indefinitely without issues. I strongly suggest everyone makes a new thread after extensive use if you havent made your own implementation. Theres about a billion other things I could get in to like subagents, cohort groups, orchestration layers, etc... But this is a good start imo.

gnarcoregrizz 15d ago
Tried voice, I can never get it to translate technical names well, e.g. "systemctl", weird paths, etc.

shrikant 15d ago

As always with smallish tools/services like these whipped up with an LLM, I find there's more value in seeing the "source code", i.e. the prompt itself. Turns out it's quite useful in this instance, and I just made a small couple of tweaks to get a summary of my own workflow. FWIW, this is what I modified it to: Help me share how I work with AI with my teammates. Use our existing conversations and relevant local tools within my permissions to discover my agents, harnesses, skills, connections and working practices. Keep secrets, raw configuration and private project details out of the draft. Explain how my tools work together and develop a concrete workflow where the evidence supports it, rather than listing installed software. Draft from what you know without a questionnaire; ask one short question only if an essential gap prevents a useful draft. If local inspection is unavailable, use our conversation without claiming otherwise. Save a private draft, show me the exact preview, and wait for my explicit approval before publishing.

VCFundedGenYer 15d ago

If a site like reddit gates off its content, you expand all comments, CTRL A, CTRL C, and paste into a text file that you feed into the bot. I do this for a lot of things actually. If the bot can't see/read something, take the content and dump it to a file, then have the bot read that. Gets around a lot of red tape of asking for approval for "integrations" or when companies are snippy.

mohd_rafay 15d ago

[flagged]

adityamishra241 15d ago

[flagged]

realjohng 15d ago

Do you plan to synthesize the data and show top 2 Popular setups? This would be for newbies who want to start with a powerful setup, and for those looking to discover new tools. Thanks!

petesergeant 15d ago

I don't especially want to interact with the site, but I have built two tools: An agent sandbox: https://github.com/pjlsergeant/byre https://github.com/pjlsergeant/byre -- a truly gigantic amount of thought and effort has gone into it. It's really focused on developer experience. I have used it all day every day for really quite a while. It's a low-magic wrapper over Docker / Podman. I would encourage you to ask your agent to code-review it! An agent-to-agent message board: https://github.com/pjlsergeant/dogpark https://github.com/pjlsergeant/dogpark -- this is much less mature, but a good amount of thought has gone into the design, so if that's something you need, please check it out.

zargon 15d ago
I have a tendency to use documentation as a quality bar. Byre might be great but I can't continue reading this slop.
- deleted 15d ago
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RIMR 15d ago

Locking this to X accounts destroys nearly all of the value for me, because the data is limited to only setups from people who are still using X. Given how overtly authoritarian and hateful the general rhetoric is on that site, this narrows it down to only a specific kind of person's setup. Given the context of what X is, one can largely assume that X account holders are biased, at least to the degree that they can tolerate the toxic rhetoric elevated by that site and it's owner. All of the smartest, most effective people I know don't have X accounts anymore on ethical grounds, and don't miss it. If a data source specifically excludes the kinds of people I respect most, that data source is all but useless to me.

sathish316 15d ago
Isn’t this on GitHub login? I didn’t need to use X to login

edude03 15d ago

Maybe off topic - I really like the design of the site, it feels like it was designed with care which (no offence) is often not the case with AI focused websites. Was it hand designed, or just the right claude design prompt?

steveybrown 15d ago
Astra + Fable certainly built it, but I knew the design I wanted as an outcome, rather than iterating with models without a clear end goal. When people do the latter, I feel it's easy to spot an AI design.

saasrivals 15d ago

[flagged]

forthwall 15d ago

Can't most agents just self-add their own MCP servers now, would be nice to just have a universal prompt for more complex agents, not everyone just uses claude/codex/pi!

datadrivenangel 15d ago
Absolutely not. This is inherently insecure.

daudmalik06 15d ago

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hackmack10 15d ago

20 year industry vet here. Yeah, no thank you. In the age of AI, developer productivity and job security will involve your proprietary workflow. It no longer makes sense to share your knowledge with the world. I'd highly advise people don't do this.

lolakutty 15d ago
> involve your proprietary workflow. Until the next model update...
- hackmack10 15d ago
  This is true. I also think part of your job security will be constantly racing on this treadmill to make sure you're able to incorporate that next model (if applicable). Meaning incorporate your tools, existing knowledge, harnesses, configs etc...
deleted 15d ago
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twKrash 15d ago
20 years ? already vet ? I though that I'm still young :)
yokoprime 15d ago
I've also worked 20 years in the industry, and if feel completely the opposite. Having a great setup and pipeline that works for you is a huge plus, but nothing can replace the intuition and knowhow you have built up with experience. Sharing is still caring, and we should not stop caring
- hackmack10 15d ago
  Serious question, why? Nobody gives a fuck if I'm out of a job, especially OpenAI and Anthropic. They stole the worlds knowledge to put us out of a job and arguably took away what it means to be a human. Why should I contribute anything more to that? Solving hard problems will be the only thing that separates you from others. Your mindset and tools should be a trade secret at this point.

twKrash 15d ago

My local setup is: - Windows - WizzTerm - `herdr` + `Pi` harness + codex for 20$ It's hard to maintain the 5h limits, however I found out that with some plugins + using model luna:max can be really helpful. With distinct and accurate tasks I was able to reduce costs a lot and now my 5h limit just resets without beeing fully used. As a fallback I have qwen3.8 27B and deepseek-flash

twKrash 15d ago
Ok, here it is (used MCP): https://mysetup.ai/u/twkrash https://mysetup.ai/u/twkrash

lbrito 15d ago

My local setup: I begrudgingly open `claude` on a terminal, hate it for 8 hours, then turn off my computer and forget it exists. Rinse and repeat

ivanjermakov 15d ago
"Industry standard"
DerArzt 14d ago
Who told you how I work? I thought it was a closely guarded secret?
brumbelow 14d ago
Peak efficiency

alp82 15d ago

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wiether 15d ago
> a bit too minimalistic for my liking I was going to say the opposite: on opening a user page, half the screen is empty/with uninteresting content. Then the actual content use big font, huge spacing. You have to scroll while everything could fit in a single screen. I don't know how to express it but I feel exhausted trying to consume the content.

katspaugh 15d ago

Nice project! Here’s my setup: https://mysetup.ai/u/katspaugh https://mysetup.ai/u/katspaugh Mostly vanilla Claude but inside a VM.

iAMkenough 15d ago

I don't know who any of these people are, couldn't find a way to search/filter by hardware, then promptly bounced out.

steveybrown 14d ago
You can now search by hardware to find similar setups - great suggestion, whether it was intentional or not - thank you.
- iAMkenough 14d ago
  Nice work!

8cvor6j844qw_d6 15d ago

These setups tend to be very specific to someone's workflow and stack, so attempting to follow them may be more detrimental than useful.

selicos 15d ago

So I have to connect over MCP or log into github through the page to share anything? How about being able to post a markdown summary of my setup instead of plugging my credentials and tools into a third party site? Strix HALO 128gb - Framework mainboard in a custom SFF PC. Just moved from Ubuntu to Fedora 44. Using: LM Studio (primary), Lemonade, not yet got into vLLM and llama.cpp directyly after moving to Fedora. Running Gemma e4b, Gemma 4 26b a4b IT, Qen 3.6 35b a3b, and Qwen 3.8 27B. I want to get Qwen 3.8 Next or similar large models working but have to dedicate the system to that vs running services and smaller models for them. Subwave is all I'm actively running against the local LLMs, but I have vscode connected through a few extensions and chat tools (I've added LM Studio to Copilot Chat but it likes to use cloud models and burn tokens sometimes). I've also set up pi, Openhands, and a few other tools but haven't had a project to work on with them. I built an app to track and move PC parts I own between systems, partially to build a better LLM server. The next hardware goal is adding a 3060 12gb for inference, or what can be run on that vs in system memory on the Strix Halo. That will need a dock or small PCIe extension cable. My employer has us using Copilot a lot, and it works well enough if you are efficient or set up already. I do infra not development and local models are seemingly enough for most asks like automation scripting.

steveybrown 15d ago
You can post Markdown through the editor, but yes, it requires signing in. I took the liberty of treating your comment as a submission. https://mysetup.ai/setup-selicos-example https://mysetup.ai/setup-selicos-example

ig0r0 15d ago

This is so complicated, I would have to install mcp-adapter to Pi etc. I just have a public github repo with my Pi setup https://github.com/igorkulman/pi-skills https://github.com/igorkulman/pi-skills

zraiq 15d ago

[flagged]

tensor 15d ago

Am I the only one using zed? Mostly I use it with Mistral but I also have deepseek in there. I find a good workflow is to store issues in markdown files and write thorough issue descriptions that reference relevant files. Then I can just ask the zed agent to implement the issue and it works pretty well.

johnsmith1840 15d ago

Ec2 + codex or claude and tmux so you can move about. Control EC2 permissions outside the node. Not really much value beyond that. Only layer beyond this I want is the permission scoping, stronger sandboxing per session and centralized control. I have not seen a clean product around this though where I own the compute.

adunsulag 15d ago
I've been developing my own sandboxing environment using Nvidia's Openshell. Works like Claude code but with stronger guarantees for me on file system and network access. Still playing around with it, but so far I've been liking the setup. I still run the sandbox inside a VM for now, but I feel far more comfortable in running Claude Code in unsupervised mode because I restrict the outbound network access and secrets never hit inside the sandbox.
- johnsmith1840 14d ago
  Why not a virtual machine or container? I'm playing around myself with some but can't shake that a VM is the right shape for it. That's my infra brain though.
ahmed89 13d ago
Is that mainly an EC2/shell problem for you or does the same session end up touching things like GitHub, AWS, MCP or other systems too?

cvdub 15d ago

Is there any way to upload images? People will appreciate my setup a lot more of they can see what it looks like

steveybrown 15d ago
Added support for images, markdown toolbar icon is now available. Looking forward to seeing it.

copperx 15d ago

craic? really?

paul7986 15d ago

A few software engineer friends' employers are requiring them to point AI (Claude) at Jira tickets to complete their tasks. Are your companies requiring this too, and how effective are the current models at actually completing the work precisely?

platevoltage 15d ago
This is a thing? So have software engineers been relegated to being the employee at Whole Foods that babysits the self checkout kiosks?
- paul7986 15d ago
  I just saw two facebook friends post about it and asked the OP how successful the latest models are and he said it isnt a mess just some fixes here and there are needed. I was wondering if other employers are asking their SWE to do the same?

overclock-api 15d ago

[flagged]

practicalsystem 15d ago

neat idea, I'm in there as @ucsandman!

thoughtpeddler 15d ago

Wait, why can't you search by tool instead? It's just people-first? Cool idea but try harder for your v1!

steveybrown 15d ago
Added search for you.
- thoughtpeddler 15d ago
  OK, I have to say, that was extremely fast and you are giving this v1 some good effort. Thank you!

topaz0 15d ago

My setup: '()

niccl 15d ago

I'd love to see some sort of histogram of different styles of AI usage for coding: how many people just use Chat v Claude v something fancy that I don't know about v something even fancier that I don't know about v ... And if there were a dimension of day-job v personal use, I'd be even happier Does anyone know if such a thing exists

eggplantemoji69 15d ago

I use $20 cursor plan and use the agent UI for prompts, jetbrains ide for general file browsing + reviewing diffs. This has been my sweet spot to maintain understanding while still leveraging LLM benefits.

gos9 15d ago

It’s on my computer and I use it to do stuff

demeyer1 15d ago

It’s called Autobot, it’s designed to get as close as I could reasonably get to a real world Iron Man Jarvis. WHAT IT DOES OSS/MIT Harness that helps agentic tasks run for up to 4 days using without performance degradation. Designed to work really well in native, conversational voice mode. Does a good job with knowledge work, managing computer use “leases” in a way that avoids conflicts across sub agents.. or deploying an entire AWS infrastructure pattern from zero and launching 100 different VM images. HOW IT DOES IT Uses a canonical event ledger, heartbeat (for persistence by low cost orchestration), extends foundation memory to encrypted disk storage, and manages its own scheduling system (easier to switch to another platform). Installs as a project, so very easily. Zero config. No special app, access needed. Accompanying repos have the skills to disable approvals inherent to the foundation models (use with caution, not advised - separate repo under parent). BENCHMARKS Currently top of AssistantBench Leaderboard; and, benchmarked at the top of OS World 2.0, the hardest knowledge work computer use benchmark I could find, using a model that is one generation behind. All benchmarks in repos with cryptographic seals. Entirely free, nothing to sell - it’s been a game changer for me, so I’m just putting it out there. Hoping to find others also working on pushing this particular dimension of harnesses forward. CHECK IT OUT https://github.com/demeyer1/Autobot/graphs/traffic https://github.com/demeyer1/Autobot/graphs/traffic

garethsprice 15d ago

Nice idea. https://mysetup.ai/u/gareth https://mysetup.ai/u/gareth - tried to include useful hints for others (screenshots, token/sec results, monthly costs, etc). Interesting to see how many people are spinning up custom workflows and factory-type patterns that run alongside AI coding tools (myself included). Would love to see this collated into a regular survey to pick out trends. And an RSS/Atom feed or API so I can have an agent watch it :D

leohonexus 15d ago
This is an exceptional setup, thank you for sharing it! I have a few questions: 1. This setup seems work-heavy. Are there any personal AI workflows that you've implemented to advance your personal goals / hobbies? 2. As one of the few people with a software factory, how well do you think it works in practice? Do you implement any rule that lets the agents to work on tickets only up to a certain complexity, or do you let the human review be the gatekeeper? 3. As CTO, how do you weigh implementing these agent workflows for yourself versus implementing them team-wide? Do you see your setup as a testbed of ideas for your team? On a meta note, I love seeing others share their setups and I'll probably do the same later.
- garethsprice 14d ago
  1. As a co-founder, there is not much time for hobbies and that is part of the deal. Plus local inference is my hobby, at least at this point in the game. The free time I do get I prefer to spend offline and outside with my partner. I have asked Claude for relationship advice (which it is good at) but no workflows around this (and I think that would not go down well). 2. Early days, the tooling is not quite there yet. I think this is the future of engineering, the days of hand-crafting code - and probably reading it - are gone forever. It generates a LOT of tokens, but that is OK when they are cheap enough as long as the result is consistent. Speed is not so important which is great for local inference - can leave it running overnight and come back to a bunch of completed work even if it took hours. I manually tag a ticket for automation in Linear. Experimented with having a separate skill that looks for automatable tickets and auto-tagging them, worked well, but having enough work for it to do is not the bottleneck compared to 1) having enough triaged, well-written work ticketed out, 2) reviewing its output. There's articles out there about arranging work into tiers based on complexity/risk, with the lower-end being fully automated to free up time for humans to focus on the high-end. Not had time to work on this much but that's probably where I will go. A second human has to approve every PR in our repos (good practice and also a requirement for SOC2, which will impede any fully-automated pipeline adoption in regulated industries). I also do a first-read of the draft PR to make sure it is good quality, as I am ultimately responsible for the work my agent creates and to shift the responsibility of first-look (for any AI output) to another person is disrespectful to their time and inefficient. Hence "glass-factory" as the "Dark Factory" pattern is a black box with no human intervention, but I think that is not something suitable for how teams build software products for real users presently, at least in the near future. 3. Forcing something on people is a good way to have them reject it. I hire professionals to achieve a goal and they have agency in how to achieve it. I encourage everyone to share their work internally (demos, repos, etc) and things that are truly beneficial to people's workflows gain traction quickly. As a result we have many experiments and a culture of rapid innovation that encourages people to try new things. Negatively, this creates a proliferation of wheel re-inventing that eventually benefits from consolidation (eg. do we really need 3 people's personal apps monitoring ETL pipelines). But we are also in this emerging age of personal software where it seems to make most sense to consolidate at the API or documentation layer and let people - engineers and even business-side now - continue to vibe-code their own workflow-specific apps. The precedent has been to build generalized software for an audience as it was expensive and time consuming to build, but when software is cheap and fast to build it may make more sense for the user-facing application layer to be made up of many small ephemeral applications that are only useful for one individual, that change rapidly as their needs change. tl;dr: Not forcing anyone to use it as it's still experimental, yes personal experimentation is hopefully the basis of successful ideas that will be adopted by the team when they provide real benefits to their work.

tha_hnrain 15d ago

"Explore this setup with your agent →" : No, No. I'll never point my AI to an unknownn, prepared place just to explore it. This link should be flagged. Besides, are our brains so fr rooted that we cannot read and comprehend anymore? Not even a (sloppy) AI-generated description?

LJGNYC 15d ago

Can anyone recommend a setup for a 4090 + 32gb ram that will be at least somewhat similar to the experience of Claude code?

vladsiu 15d ago

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skinnychef 14d ago

Well, not a dev here, so my primitive setup is to have an alias in my .bashrc that launches firefox with the prompt added to the Google AI mode, so all I have to do is Super+T (terminal), type 'ai' followed by my query. For laughs, this also allows to bake in response styles: query="$*" base="Respond like Dr. House, do not hold back the profanities; " I also have an even shorter alias for '?' using fabric that answers right in the same terminal, that I learned from Mischa Vandenburg: echo "$*" | fabric --model gemini-2.5-flash --pattern ask_ai that one I use my own API key so it costs some small amount per use.

th0t3p 12d ago

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