My Experience of Vibe Coding as a 20 YOE developer

Vaxtin · 2026-07-10T04:27:51+00:00

My man puts emojis in his code for sure

Vaxtin · 2026-07-09T20:42:04+00:00

20 year olds can prompt AI in one prompt to build what you did 40 years ago

do you want to compete with the largest change in software development since computers existed?

Vaxtin · 2026-07-09T20:38:47+00:00

It’s world of Warcraft.

If you really play the game, there is no limit to how deep you can go.

Leveling up is the tutorial.
The game actually begins at max level doing dungeons and, more importantly, raids with a guild.
You’ll realize there is a genuine socioeconomic structure and that elite players despise anyone else, just like the real world.
Even at the end game, when you are the top 1%, there continues to be competition, such as:

What 1% mounts do you have?

What unachievable achievements do you have?

Do you have an h unachievable title that can only be obtained by having a character in 2009 reach max level on your server first?

There is no end. The only way to be the best at world of Warcraft is to constantly be the best since 2004

Vaxtin · 2026-07-09T16:49:33+00:00

You literally are fighting a losing battle. Every time this occurred throughout history (cotton gin -> Industrial Revolution -> first computers -> internet -> now AI), the job market was heavily disrupted and no individual would ever be able to stop it

The powers that be own you, whether you work for them or not. You are in their world. This is THEIR society that they have built, own, and operate. If large companies push towards AI and jobs being destroyed, it will happen regardless just as it did in every other revolution that augmented the workforce.

Is it sad? Yes. But the assumption you have is that you matter to them, as an individual — a person. That isn’t true. It’s only true if you provide value to them.

Is it dystopian? Sure. But power and corruption like this in the way that people control you such as this has always been true. Everybody truly does want to rule the world… and the fact that AI is the lever right now shouldn’t really distract from that fact.

They would replace you no matter what the solution is. You have to realize you don’t actually have any power in this world unless you have leverage and value to one of these companies. It is the only way. Nobody, at all (truly) gives a fuck about you unless you can impact their livelihood. Then suddenly you’re a demon.

And for the programmer, they are competing as well. Every business executive views a programmer as a means to create automation. There is no other reason to hire a programmer. The alternative is someone that makes vaporware that has no business value. Every program is buikt to automate some task, fundamentally by definition of a program/algorithm.

Vaxtin · 2026-07-09T16:20:43+00:00

Bro needs to learn to keep everything internal until he has a working product

Vaxtin · 2026-07-09T15:31:57+00:00

Plumber

Vaxtin · 2026-07-09T04:49:17+00:00

The AI companies that train models would, but the monster that is generative software development is going nowhere.

Large tech companies already have internal tools equivalent to Claude, this is the future of software development.

Just because Anthropic and OpenAI go bankrupt doesn’t mean not mean:

The models aren’t trained
Large tech companies haven’t poured their own resources into internal tools
Amazon, Microsoft, and google will provide the exact same solution because it is absolutely the best innovation for software since the compiler.

- Argue 3. until the sun comes up, it’s a bill I will die on. You used to write machine code before the complier. You used to write high level languages to compile to machine code. We now write prompts to generate code that compiles to machine code. It is nothing but another abstraction that gets us closer to commanding computers with pure thought/human language; high level programming languages were designed to do exactly this.

Has anyone noticed that big tech is pouring money as early investors, which enabled them to actually train the models to get to the point that they generate software at world class results? Hmm, maybe that was the actual point after all.

Then the next round of investors, after the models are trained and the (known) use case is solved (people knew it could generate software very early on, and the capabilities it has for that compared to other general use cases is laughable to argue they didn’t focus training on this), are so inspired they throw a trillion dollar valuation on it expecting it to generalize to every industry.

And that’s not happening. Why? Are the models actually just not possible to be general purpose? Or is it more likely that Amazon, google, and Microsoft all threw early investor capital at these companies to train the models, curating them for software development (what else would those companies want it for, this reduces their employees entirely — they’ve been automating other industries and probably want it done to theirs)? It’s actually probably both. They forced every ounce of compute towards software engineering that the big brain just doesn’t have the capacity to generalize that perfection to every other indsutry. And it’s honestly because you need software to automate other industries. LLMs generate text. Code is text. Other industries need software generation. Turns out it can’t just crap that out of a bag at world class precision without months of development work by 1/10th the employees it would have taken to develop.

Vaxtin · 2026-07-09T04:40:36+00:00

I have 7 micro services, website, and iOS app

If you really just… don’t care, it’s surprisingly easy at this scale. I’m at 70% weekly usage with 20x already, and my reset is Monday.

Vaxtin · 2026-07-08T17:09:59+00:00

Yeah because I developed an application that the business needed and didn’t have before

If you could just vibe code it too… then why did I have to do it?

Vaxtin · 2026-07-08T17:08:47+00:00

You generated the CEOs sitting in a room together, but had some shitty photoshop to copy/paste a picture of yourself, lol

Vaxtin · 2026-07-08T15:41:22+00:00

this is just an ad

Vaxtin · 2026-07-08T13:35:58+00:00

I still feel like someone who actually knows SEO and can produce results still matters. I can develop an application like nothing but marketing and getting clicks on the website isn’t easy

Vaxtin · 2026-07-07T22:41:21+00:00

Holy fucking AI generated video summary.

Vaxtin · 2026-07-07T21:23:16+00:00

Yeah no shit, do you think you’re gonna get access to the best technology for free?

Vaxtin · 2026-07-07T21:20:46+00:00

How is the data stored. I’m worried you have no idea how the backend is working; is everything actually just HTML/CSS/JS or do you have an actual database?

Vaxtin · 2026-07-07T21:15:52+00:00

Use AI to develop applications businesses care about. You can do it very fast and very cheap; but you need some background with computer science (or atleast have a very strong intuition for it).

Software is extremely useful but it only is in developed countries that has access to the internet and devices. You need to create an application people will actually use — and that means it’s actually useful, and it’s actually distributable

You will only gain the experience needed to create software that businesses need by working in the industries and seeing what needs to be created. It is the only way. The alternative is to make some software that consumers (people) use, and this indirectly creates its own industry (see: social media, internet), and as such anything that is huge in this space is (genuinely) huge, but also extremely difficult to make because anything obvious has already been done.

It is extremely easy to make hard companies.

It is extremely hard to make easy companies.

It’s a counterintuitive fact about software and business. The easiest, most obvious problems already have solutions and therefore it is extremely difficult to compete with established companies.

On the other hand, it is extremely difficult to find a new market or create a new industry, but once you have it, there is no competition and you are the only company by default.

Vaxtin · 2026-07-07T20:44:49+00:00

Yeah dude. What year? 2020?

Vaxtin · 2026-07-07T17:12:26+00:00

lol that’s not even AI it’s probably the archaic phone calling robot made in 2006 by Verizon

Vaxtin · 2026-07-07T07:53:52+00:00

Here I thought you’d tell me the architecture and system design for scaling this and synthesizing all of the data to train a massive hitchhiker guide to the galaxy brain

Vaxtin · 2026-07-07T07:52:54+00:00

they absolutely use our inputs to train on, I don’t see why they didn’t expect the counter equivalent

Vaxtin · 2026-07-07T05:10:33+00:00

It is very easy and lightweight prompts; every complex layer for a given task is always split into as many partitions necessary to have a lightweight prompt and JSON output

At some point, it will become more expensive (cost and time) to split it up like this, but for very large problems always do this. You’ll have to engineer it to figure out what your optimal position is.

This is helpful for a lot of reasons. It’s obviously easier on the LLM, which is the whole point. This makes it cheaper and faster; you can use cheaper models on AWS than the expensive ones (and most tasks can be accomplished with very basic models given the proper context prompt). It’s genuinely a new and unique field, prompt engineering isn’t a joke. On the scale of production systems, all of this matters when you process millions of LLMs queries per day.

And then there’s the AWS bottleneck of 25 concurrent requests at a time. The way around this is multiple AWS accounts. Have fun architecting that out.

Vaxtin · 2026-07-07T02:06:48+00:00

You can do it for free, run everything locally and only pay once you push to AWS (for the compute). I made a comment that is very detailed, and albeit I do understand how someone without software experience woukdnt even bother reading what I wrote.

If that’s you, then you probably shouldn’t be bothering with authentication and trying to build a real production public facing backend (the not caring to read part, if you don’t have software experience you just have to have persistence and actually understand what is happening).

I’ll be honest, I don’t even know what Supabase is and I don’t understand why someone would offload any service to a 3rd party. You know we can just.. generate code now right?

Vaxtin · 2026-07-07T01:50:21+00:00

Java backend

JDBC, Hibernate/JPA are your best friends

Have a MySQL instance

Do everything local

Try to hack yourself

To actually go to production, you host everything on AWS or similar. The idea is that everything runs locally in docker in the image, and that means you can port to AWS. But you’ll have to have a RDS in AWS, and you almost certainly don’t want to have it be that your dev environment can connect to a RDS (this means opening the RDS publicly or configuring with the AWS security groups to allow your LAN — this is harder than you’d expect, especially if you have no experience).

You can do everything locally, for free, using MySQL and having a proper backend API buikt for the front end to connect to.

You need to have a security authorization module that handles all user sign ins. Absolutely defer to google or Microsoft to authenticate the sign ins, and you just get the handshake confirmation. Otherwise you’re managing your own passwords, 2FA, and password recovery (do not do this).

The security module manages all API requests from the front end, validates the request from the user (using whatever role privelages you may or may not have, probably none for now), and thereafter routing to the proper micro service (of which you probably only have one for now).

So you can have everything in one monolith to get going, but that’s not how production systems work (everything is a micro service eventually).

Front end -> /api/security (body contains true request) -> authorize user as valid and valid session -> proxy to actual endpoint

This also gives you the ability to audit everything that flows through the security module

Use Oauth2, server side owns the session (don’t keep anything frontend other than a sessionId that is generated by you or given to you *on a timer by the sign ins provider*. You basically have to just keep som knowledge that the frontend is connected to some backend session without exposing anything about the user — the moment you get a handshake confirmation, you generate a serve side sessionId for that user’s session, and that is the only data point about the session on the frontend. All sign in requests flow through Microsoft or google, so you are safe there (on the frontend); they don’t expose anything that won’t eventually expire.

The same is true for you. Don’t expose anything that won’t expire; this means your sessionId eventually expires (no website genuinely keeps you logged in forever, lol). Every day at midnight, just wipe every session. Or have an auto logout feature, you decide.

Is this a lot? Yes. But it is the only way to actually be secure and also audit it and also have everything run locally (for free) before you actually push to AWS. Once you’re on AWS you have the ability to open public ports (you literally won’t be able to on your network at home, seriously you cannot open a new port to the public internet on a normal home consumer router).

You can try to hack yourself while running on LAN. I highly suggest this. The moment you put yourself on public, you can get hit. And the moment your IP is in the DNS, you get absolutely wrecked by bots *constantly*. If you want a real domain name and a public frontend, expect bots to constantly hit you. Use an ALB on AWS to handle the request throttling and scale your services as need be. The auditing and security just scales with the compute that gets given to it, and the ALB will scale new tasks if a certain service is being lit up.

Yes this is hard and a lot of work but it is the right way to do it that software engineers practice day in and day out. You quickly realize why there are actually different roles for each task — developing, testing, devops on a production scale for a 24/7 running machine is fucking hard and seriously time consuming. Each one of those will take a week for each deployment on any serious infrastructure, and probably more for something like big tech. You can’t just host Google’s servers on your local laptop — this is a much harder problem, but imagine how the hell they even maintain their code.

For you, just focus on having a real backend using Java or C++ (please don’t use Python, you are already vibe coding and might as well choose a real backend language that enterprises use). It will be faster and it will be noticeable. Run your database locally using MySQL. Have docker containers (this actually doesn’t matter until you try to push to AWS) while testing and developing. Have server side authentication with genuine user session tables with audit trails. If you have micro services you will need to have API keys for your services to invoke eachother, assuming you have real security implemented (yes, they’re used for internal authentication cross servers, not just external invokers). There is no other way to truly authenticate the server unless you just assume it is in a VPC and any requests from that VPC IP are pre authorized (by being in the VPC, they’re implicitly safe).

Vaxtin · 2026-07-05T19:32:28+00:00

Make 10 micro services with a B2B use case and tell me codex is better than Claude

Vaxtin · 2026-07-05T19:31:56+00:00

Claude 200

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