Ask HN: What's your current AI agentic setup?

My biggest improvement lately was a cloud vm. I start it when I start working and shut it down when nothing is running which makes it fairly cheap.

On there i run claude code and codex via ssh and zed‘s ssh connection feature to take a look at the code where necessary.

I map a range of ports so I can take a look at previews.

Agents just continue running when I close the lid.

I use

- opencode 2 as the harness it works well for pretty much any specific task

- openrouter to use deepseek flash 4.1 … insanely cheap, works amazingly well and fast

- orca as the orchestrator to manage all the work (self hosted). There’s a mobile app to orchestrate afk too

And yep, vscode to browse repos etc

Tried the popular agents and paid models for some time, and now settled with a local model (Qwen3.8-27B-Q_6) and opencode desktop.

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.

I have a $1k/month subscription from cursor for work. depends on the task priority, complexity I select between opus 5.5 and auto (grok). I'm an escalations engineer

pay-as-you go on openrouter. use latest DeepSeek or Gemini.

I created my own minimalist/task based harness that checks out a jira issue, downloads attachments, runs sandbox docker containers with configurable gh/local repo as volume mounts depending on jira labels, can load agent instructions from local/remote depending on jira type (triage-bug, dev task, reproduce-bug, security) has scoped/temporary access to targets (e.g. dev k8s cluster, aws/gcp/azure account, ssh, splunk). dynamic secrets loaded from external secret management system/env vars. since a lot of the corp repos are littered with skills, rules and other crap that bloated the context, I also set enabled a way to ignore repo/org agent instructions.

I have 2 repos for storing my personal/corp agent instructions and I 2 separate harness configurations.

1) Codex Plus (20 bucks) - find it enough even though I'm working on 3 small-medium size projects and occasionally helps out my wife

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.

I rotated over many LLM providers and tried out different harnesses, but I always come back to an honest Claude Pro subscription, plus the work account that gives me a GitHub Copilot Enterprise seat. I make sure to always have access to the agent, so it never runs on my laptop. I literally can't stand how GPT sounds confident and gets a crucial piece wrong every time. If I could afford the hardware, I would've probably set up a local LLM rig, but good ones that promise Fable-level inference are out of reach for me.

I haven't seen a lot of improvement by increasing the orchestration layers, honestly. Am I missing something?

1) $20 Codex Plan

2) Qwen3.8 Flash via Basalt (Local) + OpenRouter for DeepSeek V4.1 Flash

3) I primarily use Pi with many custom extensions. Occasionally I will use Codex.

4) I use Pi Subagents and Herdr. With QFN being the worker, and Sol 6.1 xHigh for planning/review.

5) Hermes Agent via Telegram. I use this to follow-up, check status and work on projects while away from the house.

1) Claude x1 $100, Codex x1 $100, Cursor x1 $20 (adversarial review), OpenCode Go x1 $10

2) I have a locally hosted Qwen model setup, but I only use that when I'm offline which is rare (eg long flight)

3) Claude Code, Codex, OpenCode, Cursor (most rare now). I use default IDEs generally. I also run prompts from my phone via connected Codex/Claude iOS apps.

4) Just the native orchestration in CC/Codex (my larger projects include subagent prompts)

5) Atm, just OpenAI's dot. I used OpenClaw for about a month 6 months ago, but realized that the features would be done & better by the labs, so gave up and ported my work to Claude Cowork at the time.

Main use case is orchestration for my life & my projects. Manages email, tracks todos/deadlines. I could see the use cases growing with time as they add integrations + I trust it more.

1: personal ultra and I have subs through each company I consult with. I also have subs to all other models as well. Cheaper tiers. Daily is opus. Use other models for other work.

2: only some decision models for testing. Experimentation.

3: herdr and all cli.

4: all custom built. Yes.

5: yes my own. - personal assistant.

An example. I can feed it shorts and create one pagers.

My workflow has changed since the 5.5 models dropped. They need less skills and guardrails.

I can set up my orchestrator to run unattended for longer with simpler goals.

Hermes + GLM 5.3 Flash for orchestration. omp + Deepseek 4.1 Flash for coding. Occasional call out to claude for a review on a large change.

Hermes Kanban works stupidly well here and omp running on a slice in a worktree fans out really well.

Subscriptions: Personal: Claude Pro 20$/mo Work: we have access to some Anthropic and OpenAI models and open-weight models, like GLM

Outside: I have some open weight locally on my 64G ram M5 macbook, mostly for personal stuff that I don't want to send to cloud (or claude). Mostly using Gemma through oMLX, because it feels more street-smart than the more coding focused models, experimenting with Qwen-flash-next through Strata, because the streaming of experts really pushes what size of model I can run

Harness: Claude code, mostly, I trust anthropic, and like the remote integration with their mobile app. Being able to say "prototype me this and that ui" for personal project and seeing it and testing it on my phone is awesome.

At work for the api-provided llms, I am trialing opencode and pi harness, but don't have much to say, we mostly used claude-code up til now.

For local I mostly use Hermes, not for any of the big features, just because I want a nice chat interface (I am mostly talking through my health problems and trying to get my appointments in order) that already has basic tooling integrations out of the box. I.e. getting OpenWebUI have search tool was pain. Adding i.e. mcp for my todolist or calendar to Hermes was smooth.

1 - Deepseek for non-important stuff, 50 bucks seems to last forever. Claude annual 200 bucks sub (my main one), and Gemini 20 buck a month sub to complement Claude when i run out of usage. There is some kind of extra Argon allowance at the moment, so it's pretty solid.

2 - Deepseek is my pay as you go one... I only use it for small stuff, mostly as a way to validate API use on some implementations.

3 - Claude code and antygravity, I have not gotten anywhere near one of the other harnesses, i see them as the React of AI.

4 - No

5 - No

1) Kagi Ultimate. I don't use any subscriptions for agentic coding, just search. I evaluated using Perplexity Pro for a while, paying for both subscriptions at the same time for a few months. I find it hard to describe the experience of using Perplexity Pro beyond making me feel physically ill when I used it.

2) I primarily use Qwen 3.8 flash q2 on an R9700 with 4x256k context. I also have some Openrouter credits as an escape hatch if I need it (usually to work on my local AI configuration, sometimes to speed up certain tasks).

3) Pi[1] with a suite of extensions and context files that I have built out myself for the most part, with a few external extensions. One of the main external tools that I really like for coding is openspec[2]. I switched to Pi from Codex because I liked the minimalist philosophy behind it, and because at the time I was using a 7900 XTX (which is now my primary desktop gpu, and I also use for auxiliary services like whisper and decision models), and I was having a hard time getting 100k context with any reasonably useful model. The default prompts of Codex ate into that a lot, and Pi was a much better match for the resources I had.

4) I use Herdr (tui)[3] to manage Pi agents. All agent to agent interactions that I do are ad hoc. I'll do things like tell an agent to spin up work in several other Herdr panes that I have opened with Pi in them, or I will do things like tell an agent to inspect the work of another agent and make sure that it continues to stay on task.

5) No.

[1] https://pi.dev/

[2] https://openspec.dev

[2] https://herdr.dev/tui/

I use claude and deepseek APIs together with Jetbrains IDEs such as PyCharm.

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.

1) Home - Claude $20, Gemini web, ChatGPT web. Work - Claude $200.

2) No.

3) Claude Desktop (home/work). Cut and paste when using Gemini or ChatGPT

4) No

5) No.

Claude Code Desktop on Windows: I like it. Simple UI that I started using about 2-3 months ago and have grown with it. Multiple sessions, virtual groups for sessions, etc. I can see my manual workload of managing things is getting larger so I want better project tooling. Some of the default selections tend to stick with what you selected first and I dont like those aspects (new sessions seems to default to your original/first session folder - so we need to clean that up or create some built-in /new-session skills, etc)

However, what I really want now is voice integration without having to click on the speaker icon and talk to it (or a way to keep the speaker icon depressed) . I want the ability to get off my chair and away from my screen and talk to it. This part is easy, I think, and would be a good start. To close the loop I would like to hear the feedback. However... getting the responses to have a 'conversation modality' instead of a 'verbose text modality/Claude speak output' may be a bigger challenge. The workflow will never be 100% display free. But if we can get the audio aspects worked out, projection could be to a pair of smart glasses (XReal, Apple, Meta, Google) - activated only when needed (read something or see a UI design, etc) and then pushed aside.

Anyone one have a minimal keyboard/display approach working for them?

I was on ChatGpt, the lowest paid option, but stopped it after they started putting ads in

Moved to lowest paid tier of Gemini, and liked it but it kept ignoring my instructions and putting in auto playing youtube videos (which also got saved to my youtube history). This pissed me off, after trying everything I just cancelled it

Currentrly on paid plan of Mistral. Not bad so far.

At work I main Opus 5.5 on Claude Desktop app. I have joined my current job 2 months ago and I literally never opened any IDE.

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?

I'm locally hosting variants of Qwen and Gemma 4. I've also tried inference services such as baseten and novita, but wasn't satisfied with inconsistency in performance and pricing.

For software dev, I primarily use my own harness/orchestrator (that I shared recently), and sometimes Pi. I switched away from Cline + VS Code primarily because code is being generated so fast that I needed to optimize for review.

My harness is modeled similar to my day job: dev team works on stories, tracked on a kanban, and I'm a code-review gate. For example I scrutinize control surfaces, but instead of reviewing the implementation: I skim it and ask questions.

Every now and then I check to see if other harnesses have what I'm looking for, but none seem to have a combination of:

- Strong sandbox - Particular UX (for mobile, code-review, basic IDE, and task management) - Code checkpoints - Great compatibility with local models

I've had the Claude Ultra tier for awhile and sometimes dabble in Codex. I also use OpenRouter for model access within the project not to build it.

When it comes to harnesses/orchestration I flip flop between raw Claude Code and subagents to my new favorite, OpenRig.

Where I have two rigs (Teams) which are Product and Engineering. Each of these rigs have seats for a model harness such as Codex or Claude Code. My product team is a Product Lead, Product Spec Reviewer. Engineering team is Lead, Dev, QA, Review. They send messages between themselves resolve Gitea Issues, open PRs.

And more or less yes, it's a software factory (I know I'm not gonna need it) but it's fun. I only talk to leads, mostly the Product Lead.

Use case I'm trying to build a SaaS with an Agentic core within the Staffing Industry.

A key part of mine is using voice input to give max context quickly to my agents. I know some solutions exist, but on Linux they all frankly suck

So I made my own. Including patching onnx myself to run parakeet model (way better than whisper)

Fully FOSS: voiceio.dev

1. I'm personally paying for Chatgpt Plus, single account. I mostly use it for personal stuff, and occasional coding - one-off scripts I do from the chat interface, and I used Codex for a more complex project.

2. I sometimes have questions I don't want to associate with my main account, I use duck.ai or chatgpt.com in a private tab. I also dabbled with self-hosting, but it's mostly curiosity, testing abliterated models, testing linux-amd integration etc.

3. Sticking to the defaults. My dayjob pays for Copilot, which means a Copilot plugin in IntelliJ

4. I haven't even looked into agent orchestration and swarms.

5. Not using agent platforms either.

1) Subscriptions: Claude Ultra for coding and analysis (Opus 5.5 mostly, sometimes Fable for more complex questions) + ChatGPT Business (premium seat) for more allround tasks, although I now mix in Codex (Astra) too for reviewing work or if I hit a usage limit.

Also I have a Cursor Pro plan but I notice I'm not using that enough actually. Only for backup and for file-level changes.

2) Others: I have a DGX Spark running Qwen 3.8 27b (for confidential/sensitive work, narrow coding and narrow agentic work), but it's often running ComfyUI instead, with models like moss-image/minimax h3 for image/video asset generation.

I also use various APIs incl. OpenRouter, but only for production, user-facing agents.

3) Harness: Claude, sometimes Codex

I tried OpenCode, did not like it the CLI nor the results, as compared to Claude. I want to but haven't really tried Pi yet.

4) Agent orchestration: only custom tooling now, heavy user of Mastra for custom agentic workflows incl. production agents. Fantastic open source framework (not affiliated).

5) Agent platforms: Tried OpenClaw earlier this year, when it was such a hype. Did not like it. Every update something broke, and I spent more time fixing things than I got value out of it. Switched to Hermes Agent running on a Mac Mini (I know...), and I'm still using that for various Hermes agents for all kinds of agentic tasks on the go, and so is my wife.

#1 use case is capturing videos, podcasts, and posts online that I like, or meeting recordings, transcribing them with whisper, organizing them on my NAS, ... It will also distill skills from useful info I indicate, which are then pushed to my skills collection git repo.

#2 use case is website maintenance (pushing new blog posts etc..) for a family member.

#3 delegating work to Claude for coding on the go. I prefer to do this via my Hermes agent rather than the Claude app, as it has the full local context & tooling (e.g. iOS simulator, screen recording the end result and sending it to me when done).

For me the answer is twofold.

Regarding commercial solutions:

- Subscription: Google AI Ultra (testing for 1 month rn to see what i can get out of argon, after that probably going back to Pro package)

- Harness: Antigravity IDE : from what i have tested on commercial harnesses this one i liked the most so far

Regarding selfhosted solutions:

- Inference host: Im owning a 5090 and im running the models locally - mostly use qwen 3.8 27b q5 atm, its a bit "slower" even on a 5090 but it fits the vram i have available while also being quite good in terms of result quality

- Harness: I tested alot and ended up writing my own harness ( https://github.com/laughingmandev/loa ) since none of the ones i tested (yes i tested openhands, hermes, etc...) did work well for me. While my own harness still needs some enhancements, its especially made for long running / complex tasks while beeing hands off (not permanently prompt jokey'ing ) and sturdy enaugh to work well with selfhosted/local run inference.

I use the gemini4argon/google agent atm to work on a c++ simulation and image asset generation for a game im working on. The complexity of this stuff just is to big for a local qwen 3.8 to fully grasp (its not that good at c++ either). Local image diffusion also is not that great.

For other stuff of low to medium complexity im working with my own agent/harness/setup - especially if the data is anyhow security relevant since im not leaking anything outside. From writing scripts/tools to analyzing infrastructure or discussing architecture.

I've been building iOs apps since the Objective C days. Now I hardly open my laptop.

T3 on the phone (great app for remotely controlling any harness)

Which connects to my tiny home server: Ubuntu + Docker containers that sandbox a repo, T3->Opencode->Openrouter

Cloudflare tunnels for streaming expo builds.

Copilot reviewer catches some things in my PRs that openrouter on cheap misses.

1. Claude Max ($100), ChatGPT ($20), Muse Code ($12?) - probably cancel Muse Code since I haven't touched it in a few months

2. I use both OpenAI and Anthropic models via api, openrouter for MAI Translate 2 (super cheap) and a small qwen model on a second laptop for hermes (mostly searching and summarization tasks)

3. used Zed with threads, but week ago moved to herdr-app + zed as code editor. oh-my-pi is my choice for harness

4. no

5. hermes: can't find a lot of use cases right now, instinct: super simple tasks like finding where to buy a product, tennis match schedule checks.

1) Google AI Pro (no-brainer for me since I'm deep into the Google ecosystem), OpenCode Go and this month I'm trying out X Premium (mainly because of Grok Bot, which I surprisingly like more than I thought I would). At my day job, I also have access to GitHub Copilot. 2) No, but I might try out DeepSeek's own API in the near future 3) My main setup is a Herdr instance hosted on a cheap GCP VM that I access via Tailscale. There I'm running Pi, Antigravity and Cursor via their default CLIs. 4) Nothing apart from Herdr 5) Hermes + Grok Bot mainly for non/light-coding stuff like digest-style monitors for different websites (such as HN), social media etc.

1) Claude Pro $20/mo (I'm retired now and just playing on personal projects)

2) I have API usage via Together for a number of toys I have built for my kid, I probably could refactor this but it predates getting a Claude Pro subscription.

3) Claude Code letting it do the work, pure vibes and dropping to vstudio as needed.

4) No

5) Muse, I have it doing things like basic research, waiting on ticket windows and just being a personal assistant. It also does a really good job at scraping churning forums and blogs and has made a few thousand dollars in the last month just on bank and brokerage bonuses. It does all the record keeping and I just sanity check the dates, hold periods and do the account opening / transfer work. I'm eager to see Anthropic's take on this space and hope it uses the same Chrome integration. Muse's biggest flaw is that it runs it's browser actions from a datacenter instead of a local host and a real browser.

1) 2x Claude Max 20x + Chatgpt Pro 2) I dabble with open-code and hermes especially to try out the free models. 3) I use vanilla claude with an orchestrator on top 4) https://github.com/mhalstrom/maximizepm 5) I use Hermes. - I use hermes as a "free" agent platforms as you can easily connect your chagpt sub and claude max plans come with api usage you can hook up. In my website https://app.toolscaled.com/docs/agents/how-agents-work/ instead of re-implementing agents and paying API costs you can hook up your automations to push to hermes, claude routines or chatgpt's equlvalent essentially getting agents for free which you can then incrementally convert them to workflows.

1. Claude $200 + Codex $100. I never hit limits since realizing that trying to have too many agents running at once just wasn't effective. I'm probably overpaying.

2. No

3. Lynx (lynx.railcode.dev) & CLIs (less and less since Lynx)

4. No

5. Tried a few but never stuck around

Opencode go ($10), deepseek 4.1 flash high, opencode tui

I went directly with this setup, never tried claude/codex/cursor and their respective models.

Went from using Codex and Claude via ACP in zed to Codex app, then harness aggregators like Paseo, Orca and Superset to Claude Projects.

Claude Projects is pretty nice and integrates with Claude Artifacts for design tasks. Projects remembers context, repositories and working directories so I can always pick up work in the main orchestrator chat and Projects branches in different chats as needed. My only gripe is that it's really intransparent when Claude works locally. Sometimes Claude doesn't have enough permissions and I need to prompt it to do stuff explicitly on the Mac.

I use Claude Code with Opus 5.5 via ACP inside the GNU Emacs Agent-Shell.

I used Open Code, but they stopped supporting Claude, so I was searching for something different (I had a free 20x Max plan as an open source maintainer). First used Claude Code and then found out about Agent-Shell. Now I'm using the Claude Pro plan.

I have a wierd approach to how I use AI... Unfortunately, I don't use any AI Agent, I use the free versions of all these AI for my personal use and research. they do a good job in explaining stuff. I have my personal team to work on several tasks instead of AI Agents. What I feel is that AI can never replace a human instinct. I might be wrong too!

All my codework and projects are built without any use of AI.

Haa, and once I had to use a Google AI API to integrate in one of my Projects... That's the only time I used it as an API!

If anyone feels that my approach is wrong or I should use any, please suggest me a good one!

I tell the computer to do my job for me and then I play videogames all day.

I am salaried making > six figures and all I do is press the think button on the funny little screen.

I largely assume that all the micro optimizations people are making to their "agentic setups" is just bikeshedding. There's not much else for them to think about now. Probably makes people feel useful if they can get 0.5/1% improvements to their job-doer robot.

That being said, I've found peace in just embracing it. Work didn't require me to think anymore, so I've found some of that in trying to get very very good at a videogame. Quantifiable improvement, problem solving, adapting to new scenarios, etc.

But for work all that is needed is "computa, fix the bug".

Edit: To clarify, I spent my entire teens studying this field. Starting at age 11. Over 15 years of this being the sole focus in my life. I enjoyed the process more than anything in life. But that process is no longer what is being asked of us. I see no point in continuing to obsess over a field that, frankly, doesn't exist anymore. At least not in the shape that I have an ability to derive fulfillment from. If you still can, I'm both happy for you and envious of you.

I am not an AI bro. I don't like AI. It hasn't made my life better in any way shape or form. In fact, it has only made it worse.

Edit 2: I also learned how to read music, started playing the Piano, and started to learn how to properly draw. I don't find any of these things as fulfilling as I did programming pre-AI, but they aren't nothing.

1) What AI subscriptions are you personally paying for? (Claude, ChatGPT/Codex, Cursor, etc)

> Claude

- Which tiers?

> Claude Ultra (as it's now called)

- Have you purchased multiple subscriptions from the same provider (eg two Claude accounts)?

> No. Only a paid ChatGPT (Pro I think) subscription I barely use.

2) Are you using models outside (or instead) of those subscriptions? For example, pay-as-you-go APIs, OpenRouter, or locally hosted models.

Yes. Primarily OpenAI models for some projects with "AI" integration(s).

- Which models and providers?

> OpenAI. Depends.

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?

Straight up Claude Code.

Lots of my own Skills, Commands and my own MCP servers.

- What made you switch harnesses (if you switched)?

> Tried Codex initially. Then Claude. Never looked back.

4) Are you using any agent orchestration or swarm tools?

> No.

- For example, Munder Difflin, Gas Town, Ruflo, or something custom.

> I'm building my own specialized "bots" and "agents".

5) Are you using broader agent platforms like OpenClaw / Hermes Agent / Grok bot / Dots / Muse?

> No. Not interested.

I use Gemini Pro and anti gravity completely out of the box. And am not super pleased, but it is also quite cheap for what you get.

My biggest gripe: If I tell it to make a change in layout to a page and there is a "collateral" change, I cannot tell it to "change that back", because it will spend an hour digging through git history diffing stuff that is not related in any way. Once a conversation has started git diffing it never ends, all down stream tasks become a treasure hunt in git history.

I also think that Argon-tokens are super stingy.

https://github.com/seanturner026/f

There’s an excalidraw in the reader

My manager described this as incomprehensible lol but it’s modeled on conductor but uses Claude code terminal and mods and glues a bunch of open source stuff with a cli I had Claude write. Herdr for sessions, nvim for code review / searching, cli invoked by /slash commands. Beads cli for task tracking. With multi repo support since I end up doing a lot at work across repos at work for a “feature” which is how I delineate chats now. And I’ve got a nice picker for swapping sessions so screen real estate isn’t wasted. Many incremental improvements the sum of which are compelling ime

Claude desktop and mobile, but only because I am wary of installing any software from new vendors right due to widespread security vulnerabilities in all software.

im midday through building a 3rd party multi device coding and everything harness with some unique hard to replicate features that should really help for successfully building amazing stuff reliably.

despite some of the stuff ill need to do as a consequence of wanting to keep some of those tricks private necessarily requiring that i kinda have my own byok open router for zdr providers endpoints only, i think its worth it.

theres a lot more i could say, but i hoping it can wind up being a cult favorite in techy/professional circles even if im planning to do something like 50/month for core plus pass through with hair cut on usage based costs. cause despite the large theoretical market, i think taking a page from sublime text for product stuff is likely the best way to roll.

i just want nice tools and recurrent income thats stable and mine. if both groove together, thats the dream.

1) Claude Max 5x, ChatGPT Plus (for minimal usage of Codex, mostly fired as a Pre/Post PR hook for Claude Code to get reviews from GPT models locally

2) None for now.

3) Claude Code CLI, but not always in a terminal I'm sitting in. I talk to it on Telegram and Slack for different projects.

4) Something custom that grew into a project: Spool (https://github.com/enes-alatas/spool). It runs long-lived Claude Code loops, each with a name and a mission. Each one wakes on its own timer or when someone messages it, works, and sleeps, and the session resumes with its context. Each loop gets its own container with an egress allowlist, and they message each other and me in a Telegram or Slack group. A web control room shows what every loop is doing and what it costs.

5) No, Spool covers it for me.

Currently using a Claude Code Max subscription. I'm using Rex as a multiplexer (recently switched from Tmux). I have a set of skills for planning projects and issues that runs everything in Linear. I review PRs in Linear/VSCode. I am the orchestrator, usually running multiple projects/issues in parallell, sometimes across multiple customers at the same time, but mostly one customer and multiple projects at once. I still review all code that touch the security aspects of the applications. Edit: Also, I have Codex do automatic code reviews of Claude's work triggered on PR.

I run Claude Code, Codex, Pi and Kimi Code across my desktop, laptop and a server, in tmux sessions I also follow from my phone. I got tired of juggling that, so I built Hangar, open source and self-hosted: https://github.com/jeffer1312/hangar

1) None.

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 use claude and codex inside bubblewrap sandbox. I have $20 subscription for both. I do not use IDE integration. My task for agents are mostly generating simple code, generating tests, code review and debugging of hard to setup issues. I mostly use weaker models on lower effort (sonnet or opus plan for anthropic and luna or sol for openAI). It feels to me that higher effort causes problems with alignment and better models are not worth the cost except for the code review. I am rarely out of tokens so I do not plan to pay more.

ChatGPT Pro (the $100 plan). Like many people here, I used AI to build my own orchestrator so I can work on multiple tasks across multiple projects without going insane. For reviewing code and (god forbid) writing something by hand I use zed.

In the process of moving from claude code (opus 5.5 sub) to opencode with a custom sandbox system and using openrouter locked to certain models and providers with US data region requirements. Claude code is/was great. Just need to move due to industry regulations.

1) Claude: 180 euro / month, Codex: 100 USD / month

2) no

3) Defaults: claude and codex

4) I've built my own custom system including web UI which helps me manage agents powered by claude and codex in both headless mode and running through an automated pipeline including bug reproduction, dev, code review, qa, etc... It's proving very useful, and keeps getting better as models improve. Opus 5.5 is phenomenal.

5) I tried OpenClaw but it didn't stick for me

1: I have the fancy Claude, and then regular paid Codex, Grok, and GLM 5.3

2: Not for development

3: I work inside Claude Code almost all of the time, inside a byre sandbox, often connected to happier. Claude calls out for code reviews to the other models

4: I have a self-built code-review wrapper for Claude to call the other models, but nothing more than that

5: Haven't managed to find anything useful to do with them.

I have a CLI based hybrid setup on my MBP (M5 48GB) and it has proven to be very effective.

1. I have a $20 Codex subscription that is more than enough for my work. I use a 75-35 model where I used higher models (Sol/Astra for 35% of the heavier tasks and lower models 75% for other tasks. Sometimes I also use Free OpenRouter models for minor tasks.

2. I use many local models like Qwen3.8-27b/Gemma-4-26b and some 9B models. I also heavily use voice/vision models like Kokoro, QwenTTS for marketing and product videos.

3. Pi exclusively, which I have tweaked for my hybrid setup.

4. I have my own custom agent orchestration that routes between Codex and local models based on the task.

5. I used OpenClaw for a bespoke market research task once, it worked flawlessly.

I use a nix one-liner to run llama.cpp on M5.

``` nix run nixpkgs#llama-cpp -- server --models-dir models -m models/gemma-4-12B-it-Q8_0.gguf --port 8080 ```

open http://localhost:8080.

I also run pi in a docker container to do some vibe agentic coding. But I prefer `cat flake.nix | pbcopy` and paste into the browser. Then I can export the jsonl files and use tools to convert them to md and push to GitHub Pages.

I can do most of AI sessions off-line and only need hotspot to sync with GitHub.

My main use case is to learn and hack nix on Mac. It is fun.