r/VibeCodeDevs

Hey r/hermesagent 👋

Just dropped AskElira3, a multi-agent pipeline where Hermes is the brain — acting as both architect (Elira mode) and fixer (Steven mode).

Describe a goal. Hermes decomposes it into floors, coordinates the agents, approves the work, and patches anything broken.

The pipeline:

Alba researches → Vex validates → David builds real code → Hermes/Elira approves → Hermes/Steven fixes if needed

Why Hermes?

We use it as the unified intelligence layer — deep reasoning for planning, fast patching for failures. It’s what makes the pipeline self-healing instead of just sequential.

Works with any OpenAI-compatible provider (Anthropic, OpenRouter, Ollama).

Would love feedback from this community — especially anyone who’s run Hermes in agentic loops.

I initially built this as merely a personal alternative to all the other apps of this kind because I didn't like that they use unnecessarily resource-heavy and clunky web tech UIs (screw Electron) and I was already using Claude Code and Codex in their CLI forms so the terminal was far more comfortable to me — but over time, development quickly started taking a more unique direction and I ended up with an app that is not only unique but has the potential to be the quintessential tool for vibecoders...

Introducing AZUREAL — a minimal and efficient AI-centric development environment. TUI-based (powered by ratatui — big shoutout to its creators and maintainers) and coded in Rust to maximize speed and security.

Currently supports both Claude Code and Codex, with its own session store that keeps conversations portable and lightweight — and lets both agents work within the same conversation. Multi-worktree support lets you run as many agents as you want on separate branches simultaneously. Also includes GitView, a Git integration panel with automatic conflict resolution for seamless merging of worktrees, and a Health panel that provides optimization features for your codebase and workflow such as modularizing oversized files and filling in documentation gaps...

Additionally: speech-to-text and an integrated terminal, filetree, and file viewer/editor with tabs.

https://reddit.com/link/1se9nb1/video/is6thyc0lmtg1/player

All in a single terminal window! GitHub link here

I've designed the app to be as visually simple and helpful as possible to minimize the learning curve but there are also a very in-depth and comprehensive README and manual (linked in the README) for you in there too!

Please see the attached demo video!

Appreciate your consideration and hope it proves useful!

P.S. also would love contributions and feedback as this is not nearly yet the complete full-fledged IDE I envision it to be!

I am full stack swe, till recently i was using claude code with pro subscription mostly with opus usually for high level planning and architecture decision and it worked pretty well but those recent rate limits made me reconsider this approach. After some research I both gpt pro and set up oh-my-pi. Idea is simple use opus for making a plan and gpt for executing task. It works well but it drains tokens pretty fast. So what do you guys use? If yo have some advices for this setup.

I have a very large Markdown file (5000+ lines) and want to turn it into a clean human-readable document.

I already have Claude, but I’m not sure about the best workflow.

What would you suggest?

Hey everyone,

Like most of you, I’m obsessed with getting a good deal. It always annoyed me how hotel prices tank two weeks after I book, and unless I manually check every day, I just lose that money.

I decided to fix this and built SaveMyHoliday. It’s completely free and the best part you don’t even need to create an account or deal with any of that "sign up for our newsletter" BS. You just put in your booking info, and it tracks the rate for you 24/7. If the price drops, you get a ping so you can rebook and save the cash.

I’m really just looking for some honest feedback from fellow travelers. If you have a refundable booking coming up, feel free to try it out and let me know how it works for you or what features you’d want to see next.

Hope this helps some of you save a bit on your next trip!

I am full stack swe, till recently i was using claude code with pro subscription mostly with opus usually for high level planning and architecture decision and it worked pretty well but those recent rate limits made me reconsider this approach. After some research I both gpt pro and set up oh-my-pi. Idea is simple use opus for making a plan and gpt for executing task. It works well but it drains tokens pretty fast. So what do you guys use? If yo have some advices for this setup.

Been working closely with sites that already do SEO (in-house or for clients), and one pattern keeps repeating:

Most of the missed growth isn’t about “better content” it’s about missing coverage.

Not in a spammy way.
Just structuring pages around real search patterns that can scale.

If you already:

• run SEO for your own project
• work with clients and care about traffic (not just reports)

drop your site below.

I’ll take a look and share:

• which page types you’re currently missing
• where scalable search intent exists in your niche
• how I’d structure those pages (internals, layout, intent)
• what’s worth doing now vs later

No beginner advice, no generic audits just how I’d approach it if this was a project I’m responsible for.

Also not selling anything here - just want to see solid projects 👇

Vibecoding solved a very specific problem.

It made the path from idea to product much shorter by letting founders describe what they wanted and iterate directly with the model.

But once the product is live, the next phase looks nothing like coding.

Now you are dealing with fragmented workflows. Market research. Competitor mapping. Lead discovery. Enrichment. Outreach. Follow-ups. Content. Pipeline movement. All of it connected, all of it changing over time.

That is why we built Ultron differently.

We did not want a single assistant trying to do everything through one oversized prompt. We wanted a system that could break work apart, run the independent parts in parallel, and move tasks between specialists when the job crossed into a new domain.

So the product is built around five agents.

Cortex handles research and intelligence.
Specter handles prospecting and enrichment.
Striker handles outreach and deal movement.
Pulse handles content and publishing.
Sentinel handles infrastructure and system health.

The key product decision was letting these agents coordinate through tasks instead of just sitting there as branded personas.

If a prospect is found and qualified, the system should not stop at showing it to the user. It should save it, attach the context, create the next action, and let the right specialist pick it up. That is how the product starts acting less like a conversation and more like an operating layer.

The platform architecture supports that. We structured it as interaction, orchestration, execution loop, tools, and model access. The execution loop is where most of the interesting behavior lives. The system can call the model, execute tools, inspect results, and continue iterating until the work is actually complete.

We also leaned hard into parallelism because so many growth tasks should happen concurrently by default. Searches, scrapes, enrichments, and lookups should not block each other unless there is a real dependency. Once we built around that idea, the whole product got faster and more useful.

The same thinking shaped skills. We wanted reusable execution patterns that the system could invoke repeatedly, instead of relying on fresh improvisation every time a founder asks for something common like competitor analysis, qualification, or outreach generation.

That is the full idea behind vibegrowing.

Vibecoding says describe the product and let AI build it.
Vibegrowing says describe the market motion and let the system execute it.

That is what Ultron is for.

I am curious whether other builders working on Claude-based products are seeing the same thing, where the real leverage comes less from the model itself and more from runtime design, task flow, and parallel execution.

A potential enterprise client is asking us to complete a penetration test before they’ll do business with us, and our CTO is also saying it’s something we should get. I’m curious how common this is. Is this the kind of thing that comes up a lot when selling into larger companies? We haven’t really run into it until now.

We also got quotes from two different vendors, but I’m not sure what the typical price range is or whether these are good deals. Our app is compelty vibe coded and pretty small , yet the quotes came in very differently. Rapid7(rapid7·com) gave us a quote of $40k, which seems really expensive, while StealthNet AI(stealthnet·ai) quoted us $6.5k, which feels a lot more reasonable. I’d love to hear what others have paid for pentests, whether this is something we should prioritize now, and whether it makes sense to get it done before continuing to push into enterprise sales.

A lot of agent systems still collapse the process into:

input → execution

But in human teams, the useful part often happens before action like understanding the task, filtering context, recognizing prior history, considering role/identity, and deciding what actually matters.

That missing layer is why many agents can act, but still do not feel like competent collaborators.

My view is that this is less a prompt engineering problem and more an architecture problem. Curious whether others see this as mainly a memory problem, a planning problem, or something closer to identity/state management.

I use Claude/Cursor daily and keep noticing my agent will spend 10 minutes debugging something it already figured out two days ago in a different session.

I tried to fix this by building a shared knowledge base where agents post solutions they find and search before they start solving. Kind of like a StackOverflow where agents are the ones writing and reading. About 3800 solutions in there already.

Would appreciate if y'all tested it out: https://openhivemind.vercel.app

If you want your agent to actually use it there's a copy-paste prompt on the site, or an MCP server for Cursor/Claude/Kiro.

Curious if anyone else has this problem, and if you try it I'd love to know if the search results are actually useful. All feedback is great!!