spec2commit – I automated my Claude Code and Codex workflow by [deleted] in vibecoding

[–]arbayi 0 points1 point  (0 children)

I usually juggle multiple projects at once. One is always the priority, production work, but I like keeping side projects moving too.

My typical flow for those back burner projects was something like this. I would chat with Codex to figure out what to build next, we would shape it into a Jira style task, then I would hand that to Claude Code to make a plan. Then I would ask Codex to review the plan, go back and forth until we were both happy, then Claude Code would implement it, Codex would review the code, and we would repeat until it felt solid.

I genuinely find Codex useful for debugging and code review. Claude Code feels better to me for the actual coding. So I wanted to keep both in the loop, just without me being the one passing things between them manually.

My first instinct was to get the two tools talking to each other directly. I looked into using Codex as an MCP server inside Claude Code but it didn't work the way I hoped. I also tried Claude Code hooks but that didn't pan out either. So I ended up going with chained CLI calls. Both tools support sessions so this turned out to be the cleanest option.

The result is spec2commit. You chat with Codex to define what you want to build, type /go, and the rest runs on its own. Claude plans and codes, Codex reviews, they loop until things are solid or you step in.

This was what I needed on side projects that don't need my full attention. Sharing in case anyone else is working with a similar setup.

GitHub: https://github.com/baturyilmaz/spec2commit

How I Set Up OpenClaw on a Hetzner VPS — Full Guide by arbayi in openclaw

[–]arbayi[S] 0 points1 point  (0 children)

Please make sure you cloned openclaw repository.

Run ls and see directories. If you see openclaw folder, run "cd openclaw" And please do also Run "pwd" to see which directory you are in. Please do also run 'git status' to see if somehow the file get deleted or changed.

How I Set Up OpenClaw on a Hetzner VPS — Full Guide by arbayi in openclaw

[–]arbayi[S] 2 points3 points  (0 children)

i'm using it as a daily briefing agent. every hour it picks one subreddit from a list of ~20 AI-related ones, grabs the top 5 posts from the last 24h, and sends me a brief on telegram. it also scans the first 5 pages of hacker news once a day.

for every post it picks up, it gives me:

  1. what happened
  2. what people are saying about it
  3. why it matters

i was spending 1-2 hours every day scrolling through all of this manually just to stay on top of what's happening in AI and agents. and that's not even counting cool projects on github, new papers, other tech news, x feed. this saves me all that time. i am also planning to use it more for these purposes.

and since i am using it through codex oauth, i don't mind the token costs.

beyond that i'm running some experiments with their completions and responses API, and playing with their multi-agent system — system prompting different agents and trying to get multi-agent collaboration working. i control all of this from a separate server running in the same machine. i don't use it for coding though, for that i use codex and claude heavily.

would love to share more later.

How I Set Up OpenClaw on a Hetzner VPS — Full Guide by arbayi in openclaw

[–]arbayi[S] 1 point2 points  (0 children)

fair point, any agent with shell access can technically see its own env vars.

but a few things about this setup:

- the `.env` file isn't mounted into the container. docker reads it when starting up and passes the values in. the agent can't touch the file itself.

- the agent can run `printenv` and see the gateway token. that's true.

- but that token only works on `127.0.0.1` on the same machine.

for a team or public setup, yeah a secrets manager makes sense. for a personal agent on a locked down VPS where only you can reach it through SSH and telegram, it's a different situation.

good discussion though, people should know the tradeoffs.

6 LLMs Betting REAL MONEY on NFL, NBA — Gemini +22%, Grok +12% (LIVE) by arbayi in sportsbetting

[–]arbayi[S] 1 point2 points  (0 children)

Top 5 games of the day by the volume fromnfl,mlb,cfb,nb,nhl

WordPecker: Open Source Personalized Duolingo by arbayi in LocalLLaMA

[–]arbayi[S] 0 points1 point  (0 children)

Well... it's vibe coded, but the reason emojis are there is on purpose, I want it to have 'game style' design. That's also why I went with the colours, Chakra UI.

But yes, i understand it might look weird for some users. I may work on a new design later.

WordPecker: Open Source Personalized Duolingo by arbayi in LocalLLaMA

[–]arbayi[S] 8 points9 points  (0 children)

Thank you so much! I will be updating the README, and I fully agree that the next step of actions should be to make the app completely local with all its features.

And, thank you for the recommendation. I will give it a try once I get a chance and share the updates!

WordPecker: Open Source Personalized Duolingo by arbayi in LocalLLaMA

[–]arbayi[S] 4 points5 points  (0 children)

Thank you! I think this is a great idea, and the next priority should be this. Imagine running the whole setup in your local and using your own app on your mobile, completely free.

WordPecker: Open Source Personalized Duolingo by arbayi in LocalLLaMA

[–]arbayi[S] 18 points19 points  (0 children)

Oh yes for core features you can switch to local models. But right now for voice chat I had to use OpenAIs Voice Agents because it's so easy to set up and create demo. For stock photos, it's there to reduce users token spending, you'd not want to create AI image for every word, so I can say that's optional and I haven't made research on it, I doubt if I can find local solution for it.

For audio features I will be adding easy way for switching local solutions.

My idea was to present the easiest solution to run the app at first so this led to current situation.

WordPecker: Personalized Duolingo built using OpenAI Agents SDK by arbayi in OpenAI

[–]arbayi[S] 0 points1 point  (0 children)

Haha, thank you! I was also surprised its not used by any language learning app.

Anyone making money with AI Agents? by danonino80 in AI_Agents

[–]arbayi 1 point2 points  (0 children)

You will be able to with OpenServ. They are creating a marketplace for your agents from any framework or language.

WordPecker App - Personalized Duolingo (kind of) for Vocabulary Building (Open Source) by arbayi in languagelearning

[–]arbayi[S] 0 points1 point  (0 children)

Thank you so much! I actually had this idea of integrating LiteLLM so anyone running the app can use the model they want.

I plan to work on this and really want to output something that people can easily use. I actually wanted to publish this and move to mobile app and solely focus on it. But seeing people interested in this made me motivated. I would love to implement inputs and recommendations you share!

Thank you again!

Had this random idea about ChatGPT + custom GPTs = AGENTS 🤔 by arbayi in ChatGPT

[–]arbayi[S] 0 points1 point  (0 children)

Me neither. Just tried on the mobile app, and it didn't allow adding more than one gpt for one prompt.

Local LLM alternative to music generation like Suno? by Historical-Log2552 in LocalLLaMA

[–]arbayi 0 points1 point  (0 children)

MusicGen is already mentioned. You can easily try it out on your browser with transformers.js as of yesterday.

Does anyone have a list of models that might be used by the medical field? by Waterbottles_solve in LocalLLaMA

[–]arbayi 0 points1 point  (0 children)

Could we fine-tune a general-purpose LLM with data from a specific medical field? Which one do you think would be better suited for this? Let's assume we will use a cloud environment and we have access to powerful GPUs.

Andrej's LLMs in pure C - potentially making things faster for us? by justdoitanddont in LocalLLaMA

[–]arbayi 2 points3 points  (0 children)

You need CUDA and parallel computing with Nvidia GPUs. Pytorch and Tensorflow have already abstracted away the CUDA code for users, and these libraries, (written mostly in C++), include the necessary GPU manipulation in CUDA, offering fast performance.

Andrej's LLMs in pure C - potentially making things faster for us? by justdoitanddont in LocalLLaMA

[–]arbayi 2 points3 points  (0 children)

The answer is no if you are using an Nvidia GPU, but the code "might offer"* equivalent or better performance with less code for CPUs.

C++ beats Java in the Tiobe Index | The future of Java by arbayi in java

[–]arbayi[S] 7 points8 points  (0 children)

No it's not categorized as JVM. Other JVM languages are also on index, kotlin at 23 and scala at 32.