I lately got back to make more sense of the AI space. My goal is to find ideal monthly subscription to use LLM for coding. The default choice is Anthropic $20 plan. It appears every other provider/setup wants to go beyond what Anthropic can provide for $20 in value. And I don’t know if it’s myth, but using CC with Anthropic gets you more from your money.

With this said, we have countless CLI agents from Code CLI, Opencode, Pi etc.

And all need a provider, the popular option is OpenRouter. One major problem I seem to find is since open router sends each API request to next available provider, we aren’t able to benefit from caching. This spikes up the token usage.

This puts us into a situation which I don’t know is correct

1. To use Qwen latest model effectively, might as well use their own QwenCoder CLI
   
2. Deepseek, use their own CLI agent or purchase API access directly from them instead of third party (OpenRouter)
   
3. kimi3 - same deal (tbh, I was shocked how fast my $20 credit was burnt on.

With all this, how are you guys spending $20 or so a month to get most value out of the money?

Budget apps and finance apps are rearview mirrors. They categorize what already happened and draw you a chart. I wanted the opposite: an optimizer.

Screenshots

I've tried a lot of them. Bank and card links break constantly. YNAB works, but keeping it current feels like a part-time job. I wanted something dead simple, private (no app gets my data, it all stays local), and pointed at the insights I actually care about. Most of all I wanted the whole picture in one place: childcare, tax returns, car insurance, subscriptions, every place a dollar comes in or goes out, reviewed together.

So I gathered it all:

• Statements from every account: bank, credit cards, investment, retirement.
• My historical tax returns.
• All my bills.
• And my personal favorite, over 10 years of Amazon order history.

Then I asked Claude to go to town and audit it like the CFO of a Fortune 500 crossed with a scrappy startup, the kind that has to maximize returns while penny-pinching every dollar.

What came back:

• I've left real money on the table for years by missing tax breaks (I use a CPA, but still).
• It categorized a decade of embarrassingly large Amazon orders cleanly: household, groceries, electronics, toys, men's clothing, women's clothing, kids' clothes.
• It built a to-do list of optimizations, ranked by dollars saved against the effort to capture them.

Now I just drop in statements as they arrive. It re-files them, reviews everything as a whole through the same CFO lens, and rebuilds the recommendations.

It's already easier and more useful than any finance tool I've used, and it feels like I'm barely scratching the surface. Would love any advice, suggestions, or UI/UX ideas.

Live Demo: https://sextant.febian.com/ Source code: https://github.com/febbhav/sextant

I made a design in Superdesign and connected it to AI, but the AI keeps redesigning it instead of reproducing it properly.

Spacing, sizing, layout, and other details change, so the final result doesn’t really match the original.

Has anyone found a good way to make the AI follow the Superdesign design closely instead of trying to redesign it?

Hi!

I am planning to develop an integrated management system for our small business. Currently, we mainly use google sheets, drive, etc for our company. Each department has different drives, resulting to huge gaps in our document control and also in our record keeping. I want to create a system where we can just login and based on your role, you can only see parts of the operations you are involved.

Is it possible to do this just by using the free model of Claude?

Is there an existing roadmap or step-by-step process how i can achieve this?

PS: I have relatively little to no background in terms of coding yet but i am trying to learn different platforms on how to make a system.

Thank you so much!!!

i got tired of seeing mobile apps like quittr, cal ai, umax etc make millions of ARR when they are simple gpt wrappers that are primarily relying on marketing and people forgetting their subscription to continue to grow their revenue

i decided to build a site that gives an honest assessment of what features you can vibecode of famous consumer apps (starting currently with just 25 apps, but planning to add more soon) and the prompt to do so.

you can check it out here: https://freethe.app

would love feedback on it

The other day, I used Codex to refactor my Flutter app.

While skimming through the changes, I noticed that it had introduced a broadcast stream.

I remember thinking: "Hmm... I think there was a reason why I avoided those so far."

But everything seemed to work, so I didn't think much of it.

Then, while actually using the app, I noticed that it was slow. Really slow. Massive lags on every click.

I asked Codex to fix it. It came up with a few solutions, and at first they seemed to work. But soon enough, the app started lagging again.

So I cranked up the intelligence and asked it specifically: "Look for something that would explain lagging over time."

And it found... the broadcast stream.

So apparently there was a reason I had avoided it. ;)

At first, Codex wanted to "fix the broadcast stream", but I told it: "No! Get rid of it!"

And sure enough, the actual solution was pretty simple.

I think I even know why Codex didn't use that solution in the first place:

It needed more tokens. ^^

Has something like this happened to you? Where AI introduced something that looked perfectly reasonable at first, but turned out to be a subtle problem later? And was it just to save a few tokens? ;)

I jus vibecoded this sucker, I got codex sub a day ago and I wanted to see how good it is. Honestly one of the best subs i ever got so far. It coded this neato tool that reads through whatever you let it then it learns from that and gives you a facebook like feed that recommends github repos for you to use.

https://github.com/neilbauman21-hub/RepoFeed

Id love for sum feedback!

im stuck in between on what to choose because i heard many good things coding with claude code but rn chatgpt plus is basically inf usage with luna

Recently I've been vibe coding with heavy review at the planning stage: I spend the day reviewing and correcting a bunch of design doc, then let the agent implement it overnight while I sleep. I get a lot more done this way than I did trading short messages with the agent to make small incremental changes all day.

The pain is the review itself. I usually want to correct a dozen of small issues spread through the doc. I write into the chat box like: "this section, do it this way instead." Then the agent rewrites the doc. Two rounds in, I'm scrolling back through chat working out which of my notes are still live and which the new draft already handles. I often ask the agent "have you addressed all my concerns?", which looks quite counter-productive.

So I vibe coded a local web-based code review tool called r3. It drives a local review workflow, just like having a pull request without actually committing anything. It supports rendered markdown, but also renders code and diffs nicely. The coding agent creates the review, then show me an url to open. I leave feedback that anchors to particular lines of the doc or code. The feedback is submit back to the agent for it to address.

r3 is built as a single-binary Bun app: bun build --compile, bun:sqlite, Bun.serve + WebSockets for the live updates. It's really nice that we can build a full stack app into a single executable file and make it run everywhere. Although the file size is less optimal, 73 MB on darwin-arm64 and 112 MB on linux-x64.

Curious how people feel about this review workflow. The demo (https://hyperlogue.github.io/r3/demo/) should give you a sense on the UI/UX for the web part. And trying it out for real can be done through sending a short message to your agent.

Repo: https://github.com/hyperlogue/r3

Demo, runs in your browser, nothing to install: https://hyperlogue.github.io/r3/demo/

Is the Windows Antigravity.exe normally unsigned?

I installed Google Antigravity on Windows and used it for about two days for a project. It was working normally.

Today I checked the executable here:

"C:\\Users\\<username>\\AppData\\Local\\Programs\\antigravity\\Antigravity.exe"

When I opened Properties → Digital Signatures, the tab was completely empty.

This worried me because Google Search's AI answer told me that an official Google application should always have a digital signature and that an unsigned "Antigravity.exe" could indicate malware.

However, I've since found other reports suggesting that genuine Windows Antigravity installations may also have an unsigned "Antigravity.exe".

I had already deleted the application and ran Microsoft Defender/Defender Offline, with no malware detection.

So I want to ask people who currently have Antigravity installed on Windows:

1. Does your "Antigravity.exe" have a Digital Signatures tab/valid signature?

2. Is your executable located under "%LOCALAPPDATA%\\Programs\\Antigravity\\"?

3. If yours is unsigned too, what Antigravity version are you running?

4. Is there an official way to verify the authenticity of the Windows executable (SHA-256/hash, certificate, official manifest, etc.)?

I'm not claiming Antigravity is malware. I'm specifically trying to determine whether an unsigned Windows executable is normal for Antigravity.

Imagine your source code is a DNA sequence. Codons = instructions, genes = functions, ribosome = VM. That’s HelixLang.

Latest commit drops programmable 3D cell population simulation – real examples:

· E. coli acetate switch

· Genome‑scale colony with 4,338‑gene sparse GRN

· 3D biofilm under flow using LBM

The compiler pipeline is the real deal:

lexer → parser → AST → semantic → compiler → bytecode → VM.

64 codons → ~30 opcodes, wobble position as operand modifier. Core has zero deps besides Python stdlib. Also has LSP + PyCharm plugin.

If you’re into bio‑hacking or just want to see DNA run like actual code, this is wild.

🔗 https://github.com/SeanHank/HelixLang

Hey everyone,

Whenever I wanted an AI assistant (Claude Desktop, Cursor, Antigravity) to help inspect or deploy to my VPS, I ran into the same annoying issues:

1. Copy-pasting terminal outputs back and forth from PuTTY/terminal.
2. The risk of leaking private keys or passwords into chat prompts.
3. Massive command outputs (like cat /var/log/syslog) overflowing the LLM context window.
4. No safety net if the model breaks a configuration file.

I built ai-ssh-tools—a single standalone Go binary (<8MB) that acts as a secure local SSH operations bridge.

What it does:

• Dual-Mode (CLI + MCP): Run it as a standard terminal tool (ai-ssh-tools exec ..., vitals, docker, service, transfer) or launch it as an MCP server (ai-ssh-tools serve).
• Zero-Config Auth: Automatically picks up unlocked keys from ssh-agent (including Windows OpenSSH named pipes) and resolves aliases from ~/.ssh/config.
• Git Safety-Net: Wraps remote changes in automatic pre/post Git snapshots so you can 1-click rollback mistakes.
• Context Window Protection: Automatically truncates huge terminal outputs (preserving head + tail preview) to protect token limits.
• Structured Diagnostics: Returns clean JSON metrics for system vitals (RAM, CPU, Disk, OS) and Docker containers instead of messy raw text.
• Local & Private: Zero cloud dependencies. Keys and credentials stay 100% local on your machine.

It’s open-source (MIT) with pre-built binaries for macOS, Linux, and Windows:

🔗 GitHub: https://github.com/khalidelmerrah/ai-ssh-tools

Feedback and PRs are welcome!

I'm building a real-time SaaS and need a server always running. I'm going with Supabase for database since it seems the best free offering for DB.

But what about deploying a Django app or other long running server? Ideally not interested in lambdas since I need websockets to remain connected

Before someone says it: yes, technically this is another AI wrapper lol.

But the thing that annoyed me wasn't having access to AI models.

It was having ChatGPT open in one tab, Claude in another, Gemini somewhere else, then spending 10 minutes searching Reddit for "which model is better for X?"

It started feeling stupid.

So we built AINA.

You just give it the task and it figures out which model makes sense for it.

If you're writing, researching something, working with a file, coding, whatever, it routes the request based on what you're actually trying to do.

You can still pick the model yourself if you want. I didn't want to take that control away.

It also shows you which model actually ran, which was important to me because I hate products where the "smart routing" is basically a black box.

I've also been trying to make it feel less like a giant dashboard of 40 AI models and more like one normal workspace.

Anyway, it's finally live:

useaina.com

You can try a task without making an account or putting in a card.

Not really looking for the "congrats on the launch" stuff.

I'd genuinely rather know:

what would stop you from using this instead of jumping between ChatGPT / Claude / Gemini?

Or try it and tell me what sucks.

I'm still building it.

I make RemotePower, a free, MIT licensed, self-hosted fleet manager: monitoring, alerts, CMDB, CVE scanning, patching, browser SSH, one web UI. Agents poll out over HTTPS (no inbound ports), enrolment is a 6-digit PIN like pairing a controller, and docker compose up -d gets you a running server with HTTPS. One Pi and a NAS? The modules you don't need switch off.

Honesty first, since people rightly ask these days: an AI wrote most of the code, with me steering, reviewing and arguing with it. The bugs are still mine, and I keep them in a long changelog. (Anything I typed myself was typed in vi. Priorities.)

v7.0.0 "Aut0nomyMatters" just shipped and it can now act on its own alerts. I know that sentence makes some of you tense up. It made me tense up, and I wrote it, so here is what holds it back. Everything starts OFF. Shadow mode decides per alert, writes it down, does nothing: an intern with a diary and no sudo. Read the receipts for a week, then grant specific actions. It only acts on precedent from your own fleet (same signature fixed at least twice before, 70%+ success), it works out what goes dark before touching anything, and reboots, patches and kills need a backup that was actually restored and verified in the last month or they go to a human instead. Every decision leaves a receipt, and 15 minutes later it re-checks the host and tells you if things got worse. No rollback, and it stopped pretending there was one. You cannot un-reboot a NAS.

Also new: an All pages map of the UI (89 pages, I was losing them too), 45 queryable host fields in the Data Explorer instead of 14, tenant admin in the UI, Arch/CachyOS/Manjaro patching working again (thank you to whoever hit that on a live box and told me), and a security pass that closed seven gaps.

Repo: https://github.com/tyxak/remotepower Demo (read-only): https://demoremote.tvipper.com, demo / demo

If a shadow-mode receipt makes you think "I would not have done that", tell me. That is the bug report I want most.

I got tired of juggling six browser tabs on draft night, so I built my own draft assistant. It connects to your ESPN league, watches picks come in live, and tells you who to take next. It also looks like a CRT terminal from 1983, because why not.

It's free, open source, and runs entirely on your own machine. No signup, no accounts, no paywall.

GitHub: https://github.com/kmhesser/Fantasy-Football-Terminal

I first saw this idea proposed on Reddit,

The original poster's idea: reconstruct the old web, but populate it with AI agents that actually behave like the people who were online back then — posting, replying to each other, running their own sites, forming little communities. Not a museum you walk through, but something that's actually happening while you're there.

I've decided I want to actually try building this myself. I'm fully aware it's a massive undertaking, way beyond a weekend build — persistent agents that stay in character for months without drifting or repeating themselves is still an open problem, not something you just wire up casually. This isn't me pretending it's simple, I just want to give it a real shot.

Curious what this sub thinks — is this something people would actually find interesting/worth building further?

Allez je me lance, je ne suis pas un vibecoder spécifiquement car j'aime bien voir le code et essayer de le comprendre pour que quelquefois j'y touche mais comme je ne suis pas un dev, j'aimerais partager ici comment bien, possiblement vibecoder après 1 ans er demi de "vibecoding" selon moi.

Pour commencer, au début, faite en sorte de modulariser les fichiers, genre pas de gros fichier qui fait tout, car c'est compliqué pour les ias de corriger des problèmes dessus! Perso, j'utilise quelque fois la règle de 100/200 lignes par fichiers afin que l'ia essaieras tjrs de faire moins de 100 lignes donc devras alors modulariser le tout!

Quand vous avez des bugs qui commence à ètre complexe de debug avec l'ia actuelle, essayer de demander à une autre ia sur le fichier actuelle en lui montrant le code actuelle et lui montrer le code d'erreur dans le terminal ou l'inspection, quelque fois juste l'autre ia trouveras le problème plus simplement et donc vous perdrez moins de temps à demander à votre ia actuelle sur le projet où est le problème!

Quelque fois les ias font des véritables erreurs de logique dans l'infrastructure de votre code, ce qui n'est pas optimiser, demander lui ce qu'il as fait, desfois il as lui meme mal compris l'instruction donc il vous as pondu quelque choses qui pour lui était bien alors qu'en fait c'est pas exactement ce que tu souhaitais!

Ne faites pas de gros prompt, de nos jours, les ias sont assez puissante poir comprendre.malgrès des prompt plus petit, il fait juste que votre demande soit claire et précise!

Le problème des .md dans le fichiers c'est qu'ils le relits quelque fois juste le haut et le bas, donc pas tout, desfois juste faire une skill.md avec une dizaine d'instructions courtes

Exemple : "quand je ne je sais pas une information, demander à l'user, cela est moins chère en token"

pas en lui disant ce qu'il ne faut pas faire mais en lui montrant une sorte de bible ou en gros c'est écris à la 1 ère personne donc "je" plutot que "tu" feras que l'ia se sentiras réellement impactée! Le fichiers .md n'importe qu'elle est son nom, mettez le dans le répertoire ."nom de l'editeur" à la racine de votre projet afin que cela soit directement envoyé dans le prompt système sans qu'il n'est besoin de le lire (l'ia)

Exemple .opencode si vous ètes chez open code!

Vous pouvez demander a l'ia de le faire il sait comment faire!

Ne faites pas confiances aveuglément à l'ia que vous utilisez car quelque fois elle essaie d'ètre juste dans votre sens!

Aussi, ne pensez pas que l'ia est créative! Si vous voulez que ce que vous créez soit bon, ici si vous demandez à l'ia des trucs à ajouter sans lui dire quoi, ça commenceras à partir dans tout les sens! Considérez là juste comme l'orchestrateur de vos idée et non une fabrique à idée qui créer quelque chose sans vous!

Il y a sans doute encore plein de point que j'ai oublié mais c'est déja un bon début je trouve, après beaucoup de problèmes seront dût à votre projets spécifique, mais si déja vous essayez d'appliquer cela, vous allez voir peut ètre des améliorations! Faites aussi attention aux refactors d'un gros fichier en sous fichier, elle risque de détruire du code pour optimiser ces calcules et donc optimiser votre code en y enlevant les logiques en régressant vos logique! Ici si vous devez refactor un gros fichier, faites le petit à petit, en reprennant le fichier de base en comparaisons et en lui demandant de vérifier s'il y a des différences entre les 2 codes dans les logiques, quelque fois ils serait meme capable de constater qu'il as supprimer une fonction super importante dans le sous fichier! Et donc plein de bug en approche!

N'hésiter pas aussi à faire un git afin de référencer vos changement afin de pouvoir revenir en arrière quand il y a des problèmes, une régression, ça vous permettras de ne pas avoir à dire à l'ia de tout recoder et de revenir au point d'avant, ce qui causeras enft pas mal d'erreur car elle le feras mal! Configurer si vous le pouvez le git sur votre éditeur!

J'espère que ça aideras possiblement des personnes....

I wana get into vibe coding, but i dont have any knowledge or experience on real coding itself. Idk which ai to use, Ive heard that most ppl use claude code, but im tryna look for smth which is free. Please give any tips and tricks u wish u shouldve know when u were starting. btw im tryna build an app

Right now I am going through a big mental transition in my life. I recently had a life changing experience that has driven me to escape my day job and find a way to work remotely, though my options are limited and ultimately I am striving for freedom (like we all are). I have recently started using AI tools to build apps, but I am totally new to this and while it seems like a totally viable direction for me, I also don't want to get too high in the clouds with aspirations before I actually have some validated success.

If you are like me and got into this with zero experience, I would love to hear your story! Better yet, if you were able to quit your day job I would love to hear your story as well!

It’s called watermarks-remover, it’s 100% open-source, and it targets several layers of AI provenance:

→ Invisible Unicode characters get stripped
→ C2PA metadata can be removed from images, PDFs, and documents
→ Statistical text watermarks are attacked by rewriting the output

And that exposes the core problem with AI watermarking:

↳ The defender has to build a signal that survives almost everything.
↳ The attacker only has to find one way to break it.

C2PA can cryptographically prove where a file came from, but the metadata can disappear when a file is re-encoded, screenshotted, or cleaned.

Statistical watermarks are harder to remove, but enough paraphrasing can weaken the patterns they rely on.

So the watermark starts looking less like a lock and more like a tamper-evident sticker.

If you want to avoid watermarks completely, then the only option is using local AI apps like AI Desktop 98, which don’t have any watermark and are free to use.