Posted by eggbrain 1 day ago
Ask HN: What's your current AI agentic setup?
1) What AI subscriptions are you personally paying for? (Claude, ChatGPT/Codex, Cursor, etc)
- Which tiers?
- Have you purchased multiple subscriptions from the same provider (eg two Claude accounts)?
2) Are you using models outside (or instead) of those subscriptions? For example, pay-as-you-go APIs, OpenRouter, or locally hosted models.
- Which models and providers?
3) What coding harnesses and interfaces are you using? Are you sticking with the default CLIs or IDE integrations, or using alternatives like OpenCode, Pi, Aider, Muse Code, or custom-built harnesses?
- What made you switch harnesses (if you switched)?
4) Are you using any agent orchestration or swarm tools?
- For example, Munder Difflin, Gas Town, Ruflo, or something custom.
5) Are you using broader agent platforms like OpenClaw / Hermes Agent / Grok bot / Dots / Muse?
- If you are using them, what are your main use cases?
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I know my workflow has differed significantly from a year ago, and so it would be interesting to capture a snapshot today of what people are using and why.
2) No
3) Pi
4) No, I think these are token burners and makes it practically impossible to track what's happening from a human side.
5) My own tool: <https://github.com/PAndreew/pi_group> - the main benefit is that it's multiplayer so it functions as a regular chat app in which you can invoke Pi in a group chat. This way the agent can have a shared context, but it still have all the features like generative ui, internal browser etc. that other bolted-on solutions like Claude bots in Slack do not possess.
In the IDE, I install the KILO plugin to use as harness.
I use the Jetbrains Remote IDE feature to code remotely on a cheap linux VM at a cloud provider.
On the remote VM, I have a git repo per project that I open with the remote IDE.
The way I code stuff is to create a separate worktree for each task/prompt and let the agent run at it.
The IDE and KILO plugin lets me watch the progress of each agent and open the chat with each to provide input, instructions, etc. as well as review code changes, perform tests, etc.
I did switch harness at some point because I previously used Cline which was dog slow and unstable.
I do not use OpenRouter or anything like that.
I have dabbled a bit with local models on my MBP M3 but with 24 GB RAM, the models I were able to run were both too slow and poor quality.
My setup is probably hopelessly suboptimal.
I would love to get feedback and hear if there are obvious low-effort improvements.
2) Yes, trying different models and harnesses through many providers (free/trial). mimo-v2.6-flash, minimax-m3.1-flash, glm-5.3-flash, deepseek-v4.1-flash, gpt-oss:120b, nemotron-3.5.-super-vl.120b-a12b, and others.
3) Mostly eca.dev on Emacs, and Claude Code at work. Now trying the OpenCode one too.
4) No.
5) No.
I haven't seen a lot of improvement by increasing the orchestration layers, honestly. Am I missing something?
Personally I own a Ultra plan on Claude and a 200 plan on Codex (400 dollars month).
I run them from their native desktop apps, no longer I use any terminal app to run them.
I have not opened a IDE for months now, any diff I need to check I use the Github PR.
In the personal level I use the agents for everything, basically the only thing that I still do on my computer outside of agents is consuming content like HackerNews, random forums, reddit or youtube. All the rest: sending emails, reading them, filling forms, configuring apis, submitting apps to stores ( run a couple of successful mobile apps), building them... Is all done by the agents on my behalf.
Crazy world we live in eh?
If there’s anything I need to track (medical appointments, discounts, etc), I just setup a schedule or create a service that I host on my local Debian server.
When I’m out of tokens I’m giving Argon a try. Works surprisingly well for research.
My work doesn't really require ultra super-intelligent models, or one-shot solutions. It's a standard python API, web app and some strict compliance requirements and tons of test cases. I have time to give the Q27B a few iterations. I monitor the progress and give directions while it keeps chugging off for about 30 mins for each medium-hard task. But I like the results. Exactly what is needed. It also allows me work on high-level stuff.