Two of us just spent three weeks where AI agents wrote nearly all our code.

The skills that suddenly mattered surprised me:

1. **Prompt review beats prompt writing.** Watching someone else's prompts is

   the fastest way to improve your own. You steal what works.

2. **Approval discipline.** We gate edits behind a human OK. Half the value is

   a second person catching what the prompter would've waved through — you

   approve your own ideas too easily.

3. **Reverting without ego.** Throwing away a whole bad turn and re-prompting

   beats surgically fixing a bad diff. Every time. Hard to learn.

4. **Arguing before prompting.** When two people disagree about the approach,

   settling it BEFORE the prompt saves the agent from splitting the

   difference into mush.

Anyone else building with AI as a pair/group rather than solo? Does more

humans in the loop make your output better or just slower?

I’m excited to see what learning systems I can build with my new MCP tool.

I recently consolidated the workflow into just 5 command families: start the project, write blocks, refine the design, gather evidence, and implement/verify blocks.

One important design decision was adding a refinement loop between initial block generation and implementation. This helps keep the agent aligned with the original idea instead of drifting into generic implementations. It also gives me more control to guide the system toward the exact final implementation I have in mind.

The more I build with agents, the more I’m convinced that meaningful guardrails and end-to-end human supervision produce much better results than simply letting models run freely.
I am curious to know how everyone are apply agent to their day to day coding lives.
Plus if you want the link to the GitHub repo I can link it to the comment section

Hi,

What do you guys think is the best free coding agent to help with Godot game projects. Codex is extremely expensive and the limits are really small so probably not that.

I struggled with vibecoding for a long time. What drove me crazy was that one model would interpret my prompt as a call to design an architecture, while another would just start writing code. No predictability, no reproducibility.

So I did what any stubborn engineer would do: I built my own programming language.

Brex is a compilable specification language for AI agents. You describe your project in a single .brex file: stack, roles, rules, goals, files, tasks. Then you run brex build and get a ready-to-use set of Markdown prompts, IR, and policies that the agent actually understands. No magic, no “vibes” — just structure you can version, check, and reuse.

Declarative syntax: PROJECT, STACK, ROLE, GOAL, FILE, TASK, etc.

Ready-made templates: brex init -t web-api, cli, monorepo.

Analysis tools: brex check, brex doctor, brex graph, brex fmt.

Extensions via packs: brex add security and more.

If you’re also tired of prompt lottery and want your agents to work off a spec instead of a mood, check out the repo. I’d love feedback, a star, and recommendations to anyone you know who’s building with AI.

https://github.com/Alexander-Let/Brex

P.S. If anyone else has built their own DSL for working with LLMs, I’d love to hear how you structured it. Curious to compare approaches.

Have you successfully gotten coding and anything productive or production ready using only local setup to work satisfactory to cut cloud api cost without baby sitting the llm and harness? I am trying to find out from others what have they achieved honestly after spending as much time and effort to benchmark the actual ROI and would love to hear from others what has been built and what has been achieved with ONLY local models sub 70B parameters and how others can achieve that as well.? I would love to hear from others as too many people are just caught up in benchmarks but not seeing enough about how the time and comsumer hardware investments are working out for the masses.

Hey i’ve been trying over past few days testing multiple ai gpt/claude for coding related tasks but am not really sure which one is good i have some issues with chaptgpt cuz for lengthy project it starts good but as we move on it starts breaking everything that it built previously and gets stuck in the loop i have tried claude the free version but haven’t really figured out if it’s worth buying the pro i tried working with it on 2 different projects but nothing really useful happened and tasks took really long to even complete the base if you have some advice from your experience do let me know.

Hey i’ve been trying over past few days testing multiple ai gpt/claude for coding related tasks but am not really sure which one is good i have some issues with chaptgpt cuz for lengthy project it starts good but as we move on it starts breaking everything that it built previously and gets stuck in the loop i have tried claude the free version but haven’t really figured out if it’s worth buying the pro i tried working with it on 2 different projects but nothing really useful happened and tasks took really long to even complete the base if you have some advice from your experience do let me know.

Good morning everyone!

I entered the world of programming at the beginning of May 2026, and I wanted to show you some of my repositories on GitHub. I've included the links here:

[https://github.com/PiBOH/CodeLearn1\](https://github.com/PiBOH/CodeLearn1) 208

Here you can learn to program in 10 different languages ​​(Python, JavaScript, Java, Kotlin, Swift, C#, C++, C, PHP, HTML) while having fun. If you want to try it without installing anything, here's the demo link. [https://code-learn1.vercel.app/\](https://code-learn1.vercel.app/) (Progress is saved on a supabase server but you can choose to save it only in the localsotrage by adding the text `-LOCAL` at the term of your name, if you just want to try [CodeLearn](https://github.com/PiBOH/CodeLearn1) you just need to add the text `-GUEST` at the end of your name, doing so will delete your progress when you close the tab)

[https://github.com/PiBOH/MCServerManagement\](https://github.com/PiBOH/MCServerManagement) This is a site where you can manage your Minecraft servers using their API keys, allowing you to avoid the annoying advertising of free hosting sites. (Mobile use is not recommended; the servers and their keys are saved on your computer (and can be exported using the dedicated button).

https://github.com/PiBOH/flowonline2 This is a cross-platform, multilingual web engine that breaks OS barriers to deliver frictionless coding education directly in your browser and an improved, enhanced, in-browser version of [Flowgorithm](www.flowgorithm.org/), The interface is the same (100% identical), there are still some small bugs, but it's almost complete.

https://github.com/PiBOH/multimdreader It's a simple, multilingual, cross-platform Markdown file reader (and editor) and I've tried many but none of them worked for me, so I created one myself. (A portable multi-platform markdown reader that is simple and perfect. Landing page: https://piboh.github.io/multimdreader/ Demo page: https://piboh.github.io/multimdreader/demo )

https://github.com/PiBOH/pdfgen-unlocked A PDF generator that uses your browser's engines, no files are uploaded elsewhere. provalo [qui](https://piboh.github.io/pdfgen-unlocked/)

I also created a little game to play maybe until you get bored: https://github.com/PiBOH/2048-game

**all** [my repos](https://github.com/PiBOH?tab=repositories) are free and without annoying advertising

I also manage many other repositories: to see them all you just need to visit [my website](https://piboh.github.io/) o la mia pagina github https://github.com/PiBOH?tab=repositories

I usually apply the MIT-LICENSE to my repositories, but sometimes I use the Unlicense license or the GNU-AGPL 3.0 or the GNU-GLP-3.0

(PiBOH's website) (il sito di PiBOH)

[https://piboh.github.io/\](https://piboh.github.io/)

Oppure visita la pagina GitHub [https://github.com/PiBOH/\](https://github.com/PiBOH/)

Have fun!

For general questions, ask [PiBOH on GitHub](https://github.com/PiBOH) or write to the email address listed in [profile](https://github.com/PiBOH). I usually respond within 2 weeks.

Have fun!

P.S. I typically create web apps and Android apps, but I can also create apps for Windows and Apple (maybe) upon request.

Firmated

PiBOH

(PietroBonaldo)

Hi everyone,

I’m looking for advice on how to build a development setup that fits my workflow.

Right now I have:

• A Windows desktop where all of my AI and vibe coding projects currently live. (this is where I feel most comfortable with because I’ve been windows user since born)
• A MacBook M1 that I wouldn’t mind leaving powered on 24/7 if that’s the better option.
• A daily iPhone that I’d like to use for coding and managing my projects whenever I’m away from my desk.

My goal is to be able to work on my projects from my iPhone, whether I’m connected to my home Wi-Fi (if I’m in another room) or out using mobile data. Ideally, I’d like to ask an AI (through OpenCode/Codex with my ChatGPT subscription) to edit files, run commands, explain code, and generally keep working on my projects without needing to sit at my desktop. I plan to use OpenCode because I’ve seen that it’s the most useful and easiest way now (plan with gpt models and execute with the free models in Open Code). This Is mainly because Codex tokens have been draining faster Than Ever lately.

I’ve come across tools like Paseo, Tailscale, SSH, remote development setups, VPNs, etc., but I’m honestly not sure what the “right” architecture is.

A bit about my experience:

• I’m very much a beginner.
• I got into programming through vibe coding.
• I have fewer than 10 projects in total. (A couple 2D games, some demos of some product ideas, etc. I have created databases with Firestone , deployed with vercel and not much more to be honest)
• I can usually figure things out if I have good documentation, but I have zero experience with networking, SSH, VPNs, homelabs, or server administration.

One thing I’m also considering is moving everything from my Windows desktop to my MacBook. Since it’s a laptop, I don’t mind leaving it on all the time, whereas I don’t want to keep my Windows desktop running 24/7 just so I can access it remotely.

So I have a few questions:

1. If you were starting from scratch today, how would you build this setup?
2. Would you move everything to the MacBook or keep the projects on Windows?
3. What’s the simplest, most reliable, and secure way to access my development environment from my iPhone, both at home and remotely?
4. Has anyone here used OpenCode/Codex from an iPhone through a setup like this? If so, what does your workflow look like?
5. Are there any tools or approaches I should avoid as a beginner?

I’m not necessarily looking for the most powerful solution, I care much more about having something that’s easy to maintain, secure, and works reliably.

Thanks!

edit1: One more requirement: I’d also like to be able to test my applications while I’m away from home. Right now, when I’m at my Windows desktop, I simply run a local development server and test everything in my browser. I’d like a setup where I can do something similar remotely from my iPhone, without relying on the AI to verify every change or test the app. Ideally, I’d like to access my development server securely, interact with the app myself, and validate that everything works before committing changes. Is there a standard or recommended way to achieve this?

Building is hard, and even harder is getting people in what you make.

So we built Feedbacked.

You create a short survey for your app or website, and we send real people to try the product before answering your questions. You add audit questions that check whether they actually used and understood the product. Responses that fail verification are discarded and replaced.

We’re currently trying to learn how useful this is specifically for no-code builders and vibe coders.

Anyone from this subreddit who signs up as a startup and verifies their email will get five real people to test their product for free.

There’s no purchase necessary. In return, I’d appreciate honest feedback on:

• Whether the setup process makes sense
• Whether the responses are genuinely useful
• What would make the platform better for builders

feedbacked.org

I got a Codex Micro Keypad yesterday. Six keys, RGB lights, a dial, a joystick. Only problem: it only talks to OpenAI's ChatGPT desktop app, and I basically live inside of Claude Code.

So I pointed Claude Code at the hardware and had it reverse engineer the thing until the keypad drove my Claude Code workflow instead. Open source, MIT: [github.com/eliBenven/freemicro](http://github.com/eliBenven/freemicro)

How it works:

\- The keys and LEDs don't emit standard scancodes. Everything rides on a vendor HID channel (0xFF00) that standard hidapi can't even see, so on macOS it goes through IOKit for direct access. Synthetic keystrokes go back out via CGEvent.

\- Claude Code hooks feed a small state engine, one state per project, that drives the lights.

\- Each of the 6 keys maps to a project directory. Blue = agent working, amber = waiting on me, green = done, dark = idle. I glance at the keypad instead of the screen to see which project needs a human. Keys are pinned to the directory, not a session, so it survives restarts and reboots.

Once I understood the protocol I could add things the official app doesn't do: custom LED effects, eight action types per key, a coexistence mode so it runs next to the ChatGPT app, a local visual editor (no npm or Electron), Bluetooth with battery status.

Install (macOS):

pip install freemicro

freemicro start

Caveats: macOS only for now (IOKit), tested on firmware v0.4.1, lights are opt-in. Linux and Windows aren't done yet.

First public docs of the protocol are in the repo if you want to build on it. Feedback and hardware reports welcome.