r/AI_Coders

This one is for all the broke college CS students out there <3

If you're like me, you don't want to pay $20 a month for claude code :(

It's an amazing tool I love, but a recurring expense is the last thing I need. That's why I find myself jumping from tool to tool, using the daily or monthly free tier limits and constantly having to find new free tools.

That's where "AI For Brokies" comes in. Just a simple github repo with a readme file of some free AI tools you can use for building :)

https://github.com/Joe-Huber/AI-For-Brokies

The actual building behind this project was mostly the automatic tool adder, following an issue format! If you want to see it in action, please drop an issue explaining a tool you use and see the bot do it's magic!

Please feel free to leave a star! ⭐️ (pretty please) You can use it to save the list of tools for whenever you run out of credits!

I'm pretty comfortable with the terminal, but doing an interactive rebase (git rebase -i) with multiple squash, drop, and edit commands still gives me anxiety. I usually just use the blackbox CLI to ask for the exact git commands before I run them, but I'd love a good GUI just for the rebase flow.

I know GitKraken is popular but it's paid. Does anyone use Lazygit or a specific vs code extension that makes complex interactive rebases visually foolproof?

I’ve used AI tools for coding a little, but I found that the quality of the code isn’t very good. As a developer who gets paid to build products, I don’t feel that handing over the entire task to AI is professional. Even with AI, fundamental coding skills still seem to be required.

On top of that, products built mainly with AI feel unstable. and honestly, I wouldn’t want to work with teammates who rely too much on AI for their coding. Am i too anti‑AI? but that’s how I see it right now.

Doing my pre-launch budgeting. I've been trying to find a realistic line-item breakdown for launching an AI SaaS in 2026 as a solo indie, and everything I find online is either "it's free if you hustle" or "you need $10k and a team."

What did you actually spend, itemised? Honest numbers preferred, even if they include mistakes.

I coded a tool on Vibe, and in one month I managed to get 60 users because I have a small community on X.

And one morning I wake up and see that my tool is no longer available, so I spend a whole day searching for it because I'm not a developer...

As a result, I called a developer friend to take a look. I'd been hacked and all the user data had been stolen... so you can imagine I felt like crying.

Be careful with vibe coding, you're not equipped to protect your clients, and I feel terrible for having betrayed people who trusted me with my platform...

I see a ton of posts here asking about how to get users and why "Distribution" and "Marketing" are the ONLY things you're lacking.

I promise marketing isn't the problem for your worthless slop AI coded app that solves 0 problems.

You don't want to hear this but the real problem is your app is worthless. If youre a non-coder and your app was vibe coded in 3 weeks, that means a competent dev can vibe code it in a weekend or less.

Your LLM wrapper, calorie counter/workout tracker, lead generator, SEO optimizer, and AI marketing agent is absolutely worthless. No one will pay for it and rightfully so. If you wouldn't pay for your own app, why would anyone else?

The only successful SaaS i own is something I coded in 2021 and it is a niche app that solves a real problem shopify store owners had. I was the first customer of my app and I would have happily paid for it instead of coding it myself.

if your goal is to make money from your SaaS, unless you are willing to pay $100 for someone else SaaS solution to your problem, the world's best marketing team isn't going to sell your vibe coded slop.

Just to be clear I'm not saying you CAN'T vibe coding something worthwhile and useful. I'm saying the thousands of posts about distribution being a problem, 99.999% of the time arent actually a problem with distribution

Not trying to spam or do anything shady here, just being realistic. My main Reddit account has way too much personal history and weird subreddit subscriptions to be comfortable posting my launch from it. And a brand-new account with 2 karma is absolutely going to get insta-buried in any active sub.

Is there an actually trustworthy place to buy aged Reddit accounts in 2026? Ones with real karma and posting history in subs relevant to my launch? Every listing I find is either obviously sketchy or gone after one sale, which tells me something about what was being sold.

Edit: Renting 4 aged accounts via Signals instead of buying outright. Niche-matched to r/webdev and r/programming. Way cheaper than the outright purchase route. Launch is in two weeks, will update.

the app works. users are happy. revenue is coming in.( that’s actually the only good part)

but i just tried to onboard a dev to help me and he opened the repo and went quiet for like 2 minutes. then said “what is this.”

6 months of cursor and lovable and bolt. every feature worked when i shipped it. but nobody was thinking about structure. the AI just kept adding. new file here, duplicate function there, 3 different ways to handle the same thing across the codebase.

tried to refactor it myself last week. gave up after 2 hours. the thing is so tangled that touching one part breaks something completely unrelated.

the generation was fast. the cleanup is a nightmare.

is there even a way out of this or do i just rewrite everything from scratch?

If you could have the A.I. researchers and experts answer your questions and possible concerns on a live Q&A stream directly, how many of you would you like to participate ?

And if you'd like to participate what questions would you ask ?

So I am working on an ai story on my mobile device. My biggest issues with it are memory fidelity and storyline cohesion. Would there be a way for me to possibly give the AI a command to use every generated chat from the first prompt as a reference library when making any decisions? Maybe some sort of recursive internal check? Just something to make it loop back within the story itself to help make decisions. For now it is on Ourstory. Ai but with plans to move it to something like sillytavern or something similar for a collaborative- choose your own story- mental puzzle? I love using real world knowledge and understanding of theoreticals and fantasies to try to prove mechanical plausibility so I need it to be exact on its memory

Launching my first AI tool in 3 weeks. Looking at Reddit upvote services and the pricing is all over the place. Seeing $5 for 100 upvotes in one place and $200 for 100 in another. No idea what is legitimate, what is a scam, or what a realistic budget actually looks like.

Has anyone here actually priced this out recently? What did you pay, what did you get, and how does it scale with volume? Trying to put a real line item in my launch budget, not guess.

Edit: Thanks all, super helpful breakdown. Going with Signals for the upvote portion (around $75 for 100 on normal curve, fits the Tuesday launch window). Adding 3 comments from aged accounts on top ($55 total). Budgeting $230 all in including an aged account rental. Will report back on outcomes after launch.

Hey I was wondering if you could help me out With an ai agent that could automatically dm users from a liked section on instagram from my personal ig account. If you have any tips on how I could create this software your tips and help would be greatly appreciated.

so a developer noticed something was off with Claude Code back in February, it had stopped actually trying to get things right and was just rushing to finish, so he did what Anthropic wouldn't and ran the numbers himself

6,852 Claude Code sessions, 17,871 thinking blocks analyzed

reasoning depth dropped 67%, Claude went from reading a file 6.6 times before editing it to just 2, one in three edits were made without reading the file at all, the word "simplest" appeared 642% more in outputs, the model wasnt just thinking less it was literally telling you it was taking shortcuts.

Anthropic said nothing for weeks until the developer posted the data publicly on GitHub, then Boris Cherny head of Claude Code appeared on the thread that same day, his explanation was "adaptive thinking" was supposed to save tokens on easy tasks but it was throttling hard problems too, there was also a bug where even when users set effort to "high" thinking was being zeroed out on certain turns.

the issue was closed over user objections, 72 thumbs up on the comment asking why it was closed.

but heres the part that really got me the leaked source code shows a check for a user type called "ant", Anthropic employees get routed to a different instruction set that includes "verify work actually works before claiming done", paying users dont get that instruction

one price two Claudes

I felt this firsthand because I've been using Claude heavily for a creative workflow where I write scene descriptions and feed them into AI video tools like Magic Hour, Kling and Seedance to generate short clips for client projects, back in January Claude would give me these incredibly detailed shot breakdowns with camera angles and lighting notes and mood references that translated beautifully into the video generators, by mid February the same prompts were coming back as bare minimum one liners like a person walks down a street at sunset with zero detail, I literally thought my prompts were broken so I spent days rewriting them before I saw this GitHub thread and realized it wasnt me it was the model.

the quality difference downstream was brutal because these video tools are only as good as what you feed them, detailed prompts with specific lighting and composition notes give you cinematic output, lazy prompts give you generic garbage, Claude going from thoughtful to "simplest possible answer" basically broke my entire production pipeline overnight.

this is the company that lectures the world about AI safety and transparency and they couldnt be transparent about making their own model worse for paying customers while keeping the good version for themselves(although i still love claude)

m burnt out evaluating api aggregators for our dev teams.

we hooked one up recently, and someday our models started giving random, inconsistent responses. Even worse, when an upstream provider goes down and the failover doesn't trigger smoothly, everything just stops. we checked the latency monitors, trying to figure out why the logic on our production setup was acting so unpredictable compared to the week before.

When we looked for a better solution, we noticed that some aggregators brag about having hundreds of different models, half of which are obscure things nobody is using for serious work. tbh, we just need the few we rely on to be fast and dependable. chasing variety seems to come at the expense of quality control and uptime.

we eventually went with zenmux cuz it runs pretty stable overall. They don't have a massive count of models, but the main ones we rely on like chatgpt 5.5 and opus 4.7 perform well. Even if one provider drops sometimes, it auto switches to another one so it doesn't interrupt our active projects.

Anyway, i honestly don't get why some aggregators prioritize the number of integrated models over optimizing for stability. how do you filter through these aggregators to find something reliable?

i'm burnt out evaluating api aggregators for our dev teams.

we hooked one up recently, and someday our models started giving random, inconsistent responses. Even worse, when an upstream provider goes down and the failover doesn't trigger smoothly, everything just stops. we checked the latency monitors, trying to figure out why the logic on our production setup was acting so unpredictable compared to the week before.

When we looked for a better solution, we noticed that some aggregators brag about having hundreds of different models, half of which are obscure things nobody is using for serious work. tbh, we just need the few we rely on to be fast and dependable. chasing variety seems to come at the expense of quality control and uptime.

we eventually went with zenmux cuz it runs pretty stable overall. They don't have a massive count of models, but the main ones we rely on like chatgpt 5.5 and opus 4.7 perform well. Even if one provider drops sometimes, it auto switches to another one so it doesn't interrupt our active projects.

Anyway, i honestly don't get why some aggregators prioritize the number of integrated models over optimizing for stability. how do you filter through these aggregators to find something reliable?

Gentleman Foundation - AI Development Stack -

Built over 3+ months. Combines governance + automation + AI assistance.

Key features:
- Auto-delegation to specialized sub-agents
- Persistent memory (Engram) for session continuity
- 7 Dimension's validation hooks (security, quality, architecture, testing, API, docs, gitflow)
- Judgment Day: dual adversarial review with synthesis
- Token budgeting per project
- Technical documentation from code

Tech: Works on Win/Linux/macOS. Agnostic to AI provider.

Would love feedback. What would make this useful for your team?

#FoundationStack #DevTools #AI #AIDevelopment #Engineering #Governance #SoftwareEngineering #Productivity #AutoDelegation

https://preview.redd.it/bkwzxdhnnrxg1.jpg?width=1145&format=pjpg&auto=webp&s=603bd4c743d370fb1e582d7028b57564d52a5ee6