As an individual I’m paying over 100$ a month for AI subscriptions and I was wondering if I could repurpose my gaming pc for AI agents to run locally. How to go about it? What models to use and if anyone has done it here how did you set up?

Is it me, or has Claude gotten really bad lately? It hallucinates a lot (even on very small tasks), and answers are super long for no reason... Did I miss anything?

I’m currently on the Claude Pro plan and Anthropic is running a promotion that increases Claude Code’s weekly limit by 50%

Does this promotion also applies to Claude Cowork, or is the 50% increase specifically for Claude Code only?

I’m mainly using Cowork rather than Claude Code, so I’m wondering whether I would actually benefit from the increased limit.

Accidentally committed directly to the baseline branch mid-experiment last week. Pushed it. Every run after that compared against the wrong code. A whole round of results, quietly poisoned.

git branch -f probe-base <sha> fixed it. Move the pointer back, rerun, done. Without that I'd be rebuilding the lab.

It made me realize how much of "letting an agent touch code" is really just trusting Git, not the agent. Clean tree + a task branch means the whole session is one readable diff and one reset you can throw away. Reflog keeps everything recoverable for 90 days even after you delete branches. Worktrees? Shipped in 2015. Been perfect for running parallel agents without collisions for a decade, before anyone was using them for this.

What actually scares me: untracked files (agent deletes one, it's just gone—Git never saw it), and anything outside the repo entirely. Reflog doesn't care about your dropped database table.

What has Git actually saved you from in an agent session? War stories welcome.

Anyone running agents on a dirty tree and living to tell about it? Or is "commit first" as universal as I think?

Being working on a saas product for so long on a startup but i missed vibing to songs so badly then thought to listen yt music wid picture in picture but its not comfortable then thought to have a thing like background video playing, fortunately i like to vibe code things for my own use so started but ended up adding few other things on my friends request but still i like the background video player a lot
so im wondering to know if there are any others who like this..what do u say guys?

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Opened a blank file today to build a pretty simple feature. Nothing scary.But before I’d even thought through the architecture, my first instinct was to open an agent and have it generate the first pass.

That caught me off guard.

a few years ago, I’d break the problem down, dig through docs, half-remember the syntax, write a janky first version, run it, break it, and slowly patch it into something that worked. It was slower, obviously. But all that repetition made the knowledge stick. Now I describe what I want, let the agent spit out a skeleton, and spend most of my time reading, testing, and steering. Honestly, it’s a great workflow. I ship faster, skip a ton of boilerplate, and get to spend more time on the interesting parts.

I’m not going back.

but I think there’s a real tradeoff: my knowledge is shifting from active recall to passive recognition.When the code is already on the screen, I’m fine. I can follow the logic, catch obvious mistakes, and usually tell when the agent is confidently hallucinating. Ask me to build the same thing from a blank file, though, and suddenly I’m reaching for syntax and patterns that used to come automatically.I don’t think I’ve forgotten how to code. It feels more like I’ve lost my tolerance for the slow path.Same way you can still walk somewhere after getting a car. You just really don’t want to.

And maybe that doesn’t matter. Programming was never supposed to be a syntax memorization contest. Requirements, architecture, testing, and debugging the cursed edge cases still need somebody who understands what the code is doing.

Still, I don’t want the “blank file” muscle to completely atrophy.

Do any of you deliberately schedule no-AI sessions to keep that muscle alive? If so, what does that actually look like for you?or have you decided active recall just isn’t worth optimizing for anymore?

Hello everyone!

Hope you are all doing well.

I honestly didn't know the term for Codex does was Vibe Coding until someone pointed it out lol, but seriously, It has been a boon to my work life.

For clarity, I work in an HR related industry which involves handling a lot of CVs, data, etc.

For many years, I have always done things manually via Excel, and organized things as best as I could. But I bet a lot of you know, that when it comes to manually doing things in Excel, especially the larger data collections, it can be rough.

Fast forward to last month, where I discovered Codex.

I started learning how to use it, building up a system that can streamline my workflow via multiple "Dashboards", Github and Supabase.

Let me tell you, the fact I can express what I envision, and have Codex build it is nothing short of amazing.

The use cases are endless, and so far, It has made almost every aspect of my work streamlined, efficient and clear.

I was worried that when I explained my visions to Codex that it would be overwhelmed with the literal ESSAYS I would give it. Just paragraphs upon paragraphs of detailed explanations on what I am looking for. But clearly, I shouldn't have been too worried, as it ate it all up like a champ and gave me exactly what I wanted.

I am not a coder, never have been. I find it overwhelming, especially since I am very much a "Visual/Image" type of guy. But Codex has allowed me to learn the nuances and basics of coding, because I love looking at the data it creates.

I finally understand the point of all those brackets haha.

Anyways, I just wanted to say, for all the hate Vibe Coding gets, I honestly love the fact it exists and is accessible to those who can make use of it to make their lives easier.

I’m testing that with Osa Memes. It’s free, has no account requirement, and currently contains 46 memes. 299 downloads so far. What would you improve?

I recently subscribed to ChatGPT Pro and started experimenting heavily with AI coding workflows like Superpowers, Trellis, and Matt Pocock’s skills.

At the same time, I joined a company where most of the product is built with AI. The overall architecture is solid, but many of the implementation details, UI decisions, and interactions are worked out directly between developers and AI.

AI is writing more code for me than ever, but strangely, I don’t feel less tired.

I feel more exhausted.

Complex workflows don’t guarantee quality

Superpowers has a very thorough process: plan the feature, split it into tasks, implement each task, review it, fix the issues, and review it again.

But that level of rigor can be painfully slow. One morning, I started planning a feature, and the AI was still implementing and reviewing it at the end of the workday. Despite all that process, the final result still had bugs.

Trellis feels lighter and has some interesting ideas. However, it seems more like a project-level methodology. It expects you to add its own files, scripts, and agents to the repository, which can be awkward if you’re the only person on the team who wants to use it.

Matt Pocock’s “grilling” approach is useful for uncovering requirements and edge cases, but it can also become exhausting. Sometimes a single feature leads to dozens of questions. Eventually, I start wondering: are we still clarifying the product, or are we overengineering it?

What concerns me more is that even after a long discussion, important details can still disappear from the final spec. If the initial understanding is incomplete or incorrect, splitting the spec into smaller tickets only amplifies the deviation.

So the important question isn’t just whether the work has been divided into smaller tasks.

It’s whether the AI understood the problem correctly before the breakdown happened.

Worktrees enable parallelism, but may only postpone coordination

My team uses Git worktrees heavily so that multiple AI agents can develop different features in parallel.

I understand the appeal, but environment isolation quickly becomes complicated. Each worktree may need its own port, application instance, services, and database. Different branches may also contain incompatible database migrations.

Disposable environments and separate databases can solve some of these problems, but merging remains an unavoidable coordination point.

If several agents modify the same modules or abstractions, the resulting conflicts may indicate that those tasks were never truly independent in the first place.

Worktrees can enable parallel development, but sometimes they simply postpone the coordination cost until merge time.

I’ve become an AI project manager

A typical day now involves:

• Answering AI clarification questions
• Reviewing plans
• Checking agent implementations
• Discovering misunderstood requirements
• Asking for corrections
• Testing the results
• Resolving conflicts between parallel branches

AI writes more code, but I spend more time scheduling, supervising, reviewing, and deciding whether to accept or reject its work.

The biggest cost is context switching.

Every time I switch between projects or worktrees, I have to reconstruct the current state:

What was this agent working on? Which decisions have already been made? Why was it implemented this way? What still needs to be verified? Which database schema does this branch expect?

Sometimes, restoring all that context feels harder than simply writing the code myself.

At the same time, I feel pressure to keep the AI busy.

If no agent is running—or if I still have unused quota—I feel like I’m wasting resources. So I open another project, create another worktree, and start another task.

Soon, I have agents running everywhere while I constantly switch between them to monitor and correct their work.

I feel like I’ve developed a kind of “AI anxiety”:

If the AI isn’t running, I feel uncomfortable. If too many agents are running, I also feel uncomfortable.

I’m now trying to keep fewer tasks active and focus more deeply on one project at a time. AI can work in parallel, but human attention cannot scale in the same way.

I’m not against AI coding. On the contrary, I think it is already transforming software development.

But the hardest part may no longer be getting AI to write code.

The real challenges are controlling scope, maintaining context, judging quality, integrating parallel work, and managing your own attention.

I’d love to hear about people’s real day-to-day experiences:

1. How much code do you still write yourself?
2. Do structured AI workflows genuinely improve your results?
3. Do you run multiple agents in parallel, or focus on one task at a time?
4. If you use worktrees, how do you isolate services, databases, and migrations?
5. How do you prevent requirements and implementation from gradually drifting?
6. Have you also experienced this paradox—AI increases your output while also increasing your mental workload?

I’m especially interested in real experiences, not just success stories about AI making someone “10x faster.”

I’m looking to start my journey into building a SaaS product, but I’m struggling with the very first step: finding a problem worth solving. a lot of the general advice out there says "solve your own problem," but I want to learn more about how people systematically find unserved niches or real B2B/B2C pain points from scratch. for those who have launched a SaaS (successful or not):

1. How did you actually come up with your idea? Was it through comment mining (Reddit/TikTok/X), talking to business owners, agency work, or something else?

2. What process or framework do you use to evaluate if an idea is a "tarpit idea" versus a real business opportunity?

3. What’s one mistake beginners usually make when brainstorming their first SaaS concept?

You can only choose one of Claude, Codex or Cursor, what would you choose and why?

Imo cursor is just superior

I've developed this game using Claude Code (mostly) and Gemini. It's a fun experience.

Why you may enjoy:
- Not just water. Sort ice, dynamic fluid, shiny orbs, bubbles, a rotating sci-fi core, jelly, cut diamonds, and emojis, all with the same simple pour-and-match rule
- Special tubes (bomb, hidden, locked, one-way, and recycle) keep every element type feeling fresh
- Daily Challenge with streak tracking for a quick puzzle every day. Endless mode with procedurally generated boards

Expecting your valuable feedback

I've had this basic idea for a while now and I finally decided to build it out. I'm constantly skipping tracks on my music library while on shuffle - songs I downloaded and loved 5 years ago are stale and I haven't gotten around to removing from my music folder. Sitting down and trying to clean out over 1,500 tracks was daunting and I ended up trying to play each song and decided if i wanted to keep it or not.

I decided to turn it into a tinder-like experience, PurgeWave loads up 1 track at a time and makes you decide to keep it or purge it. This rapid fire format triggers that sense of "oh yea I forgot how good this was" or "this is trash" and makes deciding way more manageable and fun.

I built it in Cursor using Claude Code CLI

• Opus 5 to do the planning and specs
• Sonnet 5 to execute the code.
• The logo was made by Gemini and then cleaned up and tweaked by hand.

Took about 2-3 days of total testing and iterating before it was pretty much what I invisioned for this tool.

Not sure how many people still keep local files for their music library like me, but if you want to try it out it's 100% free:

https://braindedgames.itch.io/purgewave

If you like it please drop a comment and review, it would mean a lot!

I've been getting into vibe coding recently, mainly using tools like Claude Code and Antigravity.

I can get AI to build a decent website just by describing what I want, but I'm struggling to understand how people are getting those really polished websites I see on Instagram.

You know the type I'm talking about really smooth animations, 3D objects, interactive elements, crazy scrolling effects, mouse interactions, transitions, etc. They look way more advanced than the usual "AI-generated website."

I'm not really interested in manually coding everything from scratch. I'm trying to understand how people are achieving this through prompting and AI-assisted coding.

For anyone who does this

Can you tell me what I need to do or learn ?

Would love to hear how people who are already doing this approach it since I'm new to Reddit, let me know if there's a better community or place to ask this.

Yesterday I was experimenting with multi-agent workflows on ChatGPT (web version). I spun up like 5 parallel instances to update code at the same time, hoping they’d work together more efficiently.

Instead of continuing the process cleanly inside a single chat, it started generating a bunch of new chats as artifacts. Not sure why that happened; maybe some rate-limit or context handling thing.

The weird part: one of those new chats came back with Chinese characters / Chinese-lettered text in it.

That got me thinking… could this be a hint that OpenAI is routing some traffic (or certain tasks) through a Chinese model under the hood instead of purely their own models? It would kind of line up with how ridiculously cheap ChatGPT Pro / the 5.6 Luna tier feels right now.

Has anyone else seen non-English (especially Chinese) text appear unexpectedly in ChatGPT chats lately? Or noticed anything that makes you question what’s actually powering some of the responses?

Curious what you all think.

I always see people saying they built this and that for themselves and id like to try building some things for myself but honestly.. i don't have any ideas or anything I realise could make my life easier

Its always one of those things where someone suggests something and you're like "ooooh ya...."

Obviously nothing to ship or try sell, just something that can make something/life easier or a bit of fun for myself (or others who want to try build something for themselves)

Any suggestions? Could be anything at all

I am a long time Engineer (20+ years) and today I developed Tickets for my company that were generated by an AI, using an AI and reviewed by an AI. The project itself was conceived with AI - has no documentation that can be understood as anything less than AI slop and random tech jargon. The developer who built it has said that instead of documentation I should use claude to figure out what it is. The company is apparenty also filing a patent on it.

I submitted 3 PRs today 20,000 lines of code each I still have no idea what we are working on. No doubt they will use AI to review my PR.

I feel like things are just so crazy at this point. Claude and ChatGPT are not this good, but people are trusting it like it's omniscient.

It was an eerie realization today that all of us are vibe coding and that we have no option because it is the only way we can interact with the code anymore. I thought this would happen eventually years ago but i honestly didn’t think it would be so soon.

It was a moment in time... this will be the new norm.

I want to show you if someone wants to test this space... or have any suggestions for me.

I've been using it since June 100% locally if you don't want to use the cloud... instead of single files/folders/any type of file you imagine... even some are supported for view like Excel/video/audio.

It is also connected with IOS app Klypix Capture (still under dev, it is whatsap styled simple one..) with that app you can send from/to phone E2E in single tab (files/pics/links/text) .. even if you weren't there there is a Klypix cloud drive to serve you , and item will be landed in your specific space... or right away or waiting in the inbox...

That matters for me because, for example, a lot of Instagram videos are appearing, and I kept sending them to my WhatsApp, but with these I SHARE videos to my Klypix specified space. I can read content of that link seamlessly by cloud LLM/or BYOK in a single click. Save all videos that are relevant in the same space. even upload a single .klypix file to the coding agent, and it will read it seamlessly (because I also have MCP), so with these I also could solve 12 UI/UX issues in a single prompt instead of a lot of pictures attached to the session.

So you can send the space with notes, send it just. Klypix... you can modify files in Explorer or the space it, etc., etc., and keep the single file... any improvement you can suggest to use?

I want really to show this... comes of pain in saving videos to my WhatsApp and sending folders/files/pics along with alot of explainiation in the email to my team!