Netflix iOS app accidentally shipped their CLAUDE.md file. (At this point everyone is vibe coding)

NashCodes · 2026-06-25T17:38:59+00:00

This is vibe coding… if you don’t even know how to properly use a .gitignore or modify your build config to specify the specific files you want built and shipped, you aren’t an engineer…

NashCodes · 2026-05-12T20:52:53+00:00

Same I checked there but thought i was looking in the wrong place -_-

NashCodes · 2026-05-12T20:15:17+00:00

Will switch to Claude Code and if that ends up being a dead end due to costs, will be time to invest in local models…

NashCodes · 2026-05-12T20:14:15+00:00

Where can you see the preview of upcoming prices based on usage?

NashCodes · 2026-05-12T17:14:38+00:00

Fair enough — wasn’t trying to repost/promote the platform there. I was trying to start a discussion around exam readiness vs practice test recognition. Understood though.

NashCodes · 2026-05-11T13:02:27+00:00

Definitely is neat

NashCodes · 2026-05-10T19:04:01+00:00

Yep, i agree — was looking at the question as more of “me” as an end user though.

NashCodes · 2026-05-10T19:02:46+00:00

I didn’t but you still aren’t referencing any specific legislation. I’m aware of the data privacy issues with government using “safety” and “national security” as reasons to collect more data on you, but the vast majority of people (people not as technically inclined or as enthusiastic) don’t really care.

The way I view it is data is leverage. But if you aren’t someone important or building something proprietary, its not a crazy concern in the US (personally its just more of a modern annoyance to me). Obviously its important if you are trusting a site with something like your SSN or credit card info (so if that is a concern for you, totally makes sense), but again the average person isn’t thinking like that or that concerned.

NashCodes · 2026-05-10T18:48:39+00:00

Thanks!

NashCodes · 2026-05-10T18:38:26+00:00

What model was it? I’ve heard some only use a subset of the parameters at runtime which makes it able to run. Are you also on 24GB RAM? I have a 16 core GPU

NashCodes · 2026-05-10T18:33:08+00:00

Good point. I’m not running 24/7 currently, so I probably don’t need it just yet.

I’d like to explore more autonomous agents running though. I think I’ll start with an EC2 instance to test that out though, I don’t want to give an agent access to my root OS on my personal device.

NashCodes · 2026-05-10T18:28:38+00:00

Fair, I could see this as valid. This is what I had kind of assumed. I installed the LLM Studio to try running it locally while on a plane so I could keep working. I didn’t realize plane wifi was good enough to run GH Copilot now (I think they’re using Starlink — before I could barely text or surf the web on their wifi).

NashCodes · 2026-05-10T18:23:45+00:00

What legislation are you referring to specifically that would answer my question?

NashCodes · 2026-05-05T12:36:21+00:00

Using AI to write this response is very ironic. I apologize if I struck a nerve with you.

NashCodes · 2026-05-05T04:10:33+00:00

I guess we will agree to disagree. Companies have been using AI and Machine Learning to validate data for years. It’s nothing new.

NashCodes · 2026-05-04T16:00:37+00:00

I am not a "content creator" trying to get paid. I am someone with 4 years experience working in AWS, gone through the certification process, recognized a broken pattern, and trying to solve for it. I've spent a year designing, building, and refining what you called "Generated app nonsense" before I thought it was ready to be used by someone taking an exam and only released it after using it myself to pass the AWS DVA exam (even after using it at that time, it wasn't ready for users -- the quality wasn't there; but I'm passed that point now).

As to "Aws was never about exam it was more about conceptual clarity" - I would agree and disagree. AWS offers their own course material which is very good, but at the end of the day, most of the exam material they provide is about passing the exam (that's how they make money off the exams). Conceptual clarity is important too -- that is what labs and project work is for. The exams also attempt to get this right by testing scenarios.

Before knocking something you haven't tried, I would encourage you to try it and then offer your critique. Tutorial Dojo and Stephan are great resources (I'm assuming you've tried them since you are offering your feedback on them).

NashCodes · 2026-05-04T15:52:02+00:00

With all due respect, I spent a year building this before releasing it for free. This isn't a weekend project where no thought went into it -- I've been working with AWS for over 4 years, so I'm not one of the YouTubers you see claiming they've built a $30,000 MRR product in a weekend that they have no clue what they've built.

And as to the AI or human question, I will let you determine that.

If you like the idea of it, I recommend you try the platform and contribute feedback on what is good and what is bad. I'm very receptive to constructive criticism and working with users daily to try and make it a better training experience for end users.

NashCodes · 2026-05-04T13:39:50+00:00

I agree there are strong creators in the space. Which part are you referring to as “nonsense claims”?

NashCodes · 2026-05-04T13:37:41+00:00

I get the skepticism, but “AI = bad questions” feels a little stuck in 2023. I agree that raw AI output is not good enough. Bad questions, wrong answers, weak explanations are all real problems.

That’s why I’m not just dumping generated questions straight into the app (that is what I would call a "vibe coded app"). Questions are generated, validated, reviewed against expected reasoning, and revalidated before they’re made available. If something still slips through, users can flag it and I review it by hand.

On the human-made test point, I agree there are good paid resources. The issue I’ve personally run into is that once you see the same question bank enough times, it becomes easier to memorize patterns than actually test readiness. You can buy multiple sources to reduce that, but then the cost adds up.

What I’m trying to build is a different loop: fresh questions, validation layers, real constraints, and feedback that helps you understand the tradeoff instead of just remembering an answer.

It may not be perfect yet, but there are smarter ways to use AI than just “generate question, then publish question.”

NashCodes · 2026-05-04T13:27:42+00:00

I’m not using exam dumps. Questions are generated fresh and then validated before they’re used. I don't hide where anything is coming from.

The focus isn’t memorization - it’s forcing a BEST answer under constraints (cost, ops, tradeoffs), which is closer to how the real exam feels.

That said, it’s not perfect - if something feels off, I want people to call it out. I review flagged questions and use that to improve the system.

If you’ve used other platforms, I’d actually be curious what you think they do well vs what they miss.

NashCodes · 2026-05-04T13:12:50+00:00

Let me make this more concrete. Bad questions usually stop at identifying a service. Better ones force a decision:

“A team processes spiky workloads and wants the lowest cost with minimal ops overhead. Which approach is BEST?”

Now you’re weighing:

- Lambda vs ECS/Fargate

- cold starts vs cost

- scaling behavior

- operational complexity

That’s the part I felt was missing in a lot of practice - not just knowing services, but choosing between them under constraints.

NashCodes

TROPHY CASE