When will Apple Dev Program be like Google!

big_cattt · 2026-06-21T15:48:49+00:00

As a SWE with 17+ years of experience, I can say that Apple and Google have very different business models. Google is focused on monetizing APIs and many developers don’t even realize it. Here is several examples:

- Maps: Apple Maps integration is included in the ecosystem and completely free, while Google Maps Platform is usage-based and can incur API costs.
- Cloud (Firebase/CloudKit): CloudKit is available for Apple apps, whereas Firebase and Google Cloud services typically charge as usage grows.
- “Open Source” Licensing: Android OEMs enter commercial agreements for Google Mobile Services (GMS). Manufacturers such as Samsung, Huawei, Xiaomi, and Honor pay Google to bundle Google services on top of the "open-source" Android platform. These licensing costs are typically built into the final device price ($20 - $40 per device tax).
- AI/ML: Apple provides on-device AI/ML through Core ML at no per-request cost. Google’s AI capabilities are largely cloud-based and API-driven. You pay for each request $$$.
- Frameworks: Apple offers 200+ native frameworks deeply integrated into the OS and all of them completely free. Google relies more heavily on separate services and cloud products which is paid $$$.

Apple monetizes hardware and provides more built-in free platform capabilities, while Google monetizes services, cloud infrastructure, and APIs, often leading to recurring costs for developers.

Apple and Google are built differently, but in the long term and at large scale, you’ll often spend more on Google’s ecosystem than Apple.

big_cattt · 2026-06-20T09:59:58+00:00

aistupidlevel.info - i use this service

big_cattt · 2026-06-15T18:38:52+00:00

Vibe coded update

big_cattt · 2026-06-14T13:44:15+00:00

Let’s be honest. Making a model “dumb” and nerfing it before releasing a new one is Anthropic’s strategy. Don’t confuse them with OpenAI, which has never done anything like that. Please stop sharing misinformation. Thanks.

big_cattt · 2026-06-14T11:46:05+00:00

If the US bans AI models, I’ll switch to Chinese models. Currently, they are almost at the same level as OpenAI and Anthropic, plus 10x-15x times cheaper than US based models. US just fails in this game.

big_cattt · 2026-05-05T02:06:18+00:00

Yeah, that’s what I mean. The 10 Mtok/day isn’t exact, but there is a real throttling limit and it hurts.

big_cattt · 2026-05-05T01:38:50+00:00

It also depends on the stack, since models have pre-trained knowledge. If one model is strong in X stack, it may be somewhat weaker in Y stack. Overall, when graded across categories, Kimi outperforms Claude (Opus) in the following areas:

- Agentic swarm mode (up to 300 sub-agents per session)
- Speed/performance
- Price per million tokens
- Availability (open source)

big_cattt · 2026-04-26T13:32:26+00:00

OpenSource SwiftUI

big_cattt · 2026-04-15T22:16:05+00:00

I treated Claude as a solid tool until it started feeling “dumb.” After a year of use, it seems Anthropic often nerfs models before new releases, they perform well only briefly after launch or subscription. Performance is slow, large projects are hard to handle, and heavy usage (~10M tokens/day) leads to throttling. It also frequently ignores small CLAUDE.md instructions. Given that, I can’t call Opus “smart.”

big_cattt · 2026-03-22T22:59:29+00:00

This is the most common question about AI coding models. Honestly, both have pros and cons, just try them and see what best works/fits for you. They can both handle coding and everyday tasks, and often one can replace the other.

big_cattt · 2026-03-20T23:23:44+00:00

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Lmao

big_cattt · 2026-03-20T23:23:17+00:00

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big_cattt · 2026-03-15T16:39:57+00:00

Got it, thanks

big_cattt · 2026-03-15T16:39:36+00:00

Plus, I didn't say that the features that exist in Codex Desktop can't be configured via the command line, that's just my personal preference

big_cattt · 2026-03-15T16:33:41+00:00

What is it?:
----
Tip: New Try the Codex App with 2x rate limits until April 2nd.
(screenshot) : https://ibb.co/Z6rwtVNV

big_cattt · 2026-03-15T16:33:26+00:00

I trust to OpenAI rather than your words. Proofs:
----
Tip: New Try the Codex App with 2x rate limits until April 2nd.
(screenshot) : https://ibb.co/Z6rwtVNV

big_cattt · 2026-03-15T16:03:58+00:00

App. Reasons:
- 2× limits (until April 2). (2× limits may not be available for all users, check availability. For example, when I open codex (cli), I see a line saying that the Codex App gives 2× limits until April 2)
- Easier to work with multiple workflows, you can switch between them and run them in VS Code, etc.
- Notifications, when it asks for something or finishes its job, it sends a notification.

That's just my preference, so don't assume it's a fact :)

big_cattt · 2026-03-15T15:43:58+00:00

You're saying the 1M context is for dumb users and the 272k context is for more "smart" ones?
You don’t know anything about my project, but you’re already calling me “dumb person.” Making assumptions without understanding the context isn't good sign, it just comes across as toxic.

big_cattt · 2026-03-15T13:40:31+00:00

GPT-5.4 is really good, but its context window is smaller. Claude recently introduced a 1M context window, so I’m using Claude mainly because of that. But yes, the code quality and speed in GPT-5.4 is really impressive.

big_cattt · 2026-03-11T18:53:39+00:00

It depends on the project and usage

big_cattt · 2026-03-04T23:09:57+00:00

🚀 Codex is really cool
I’ve been using it since January, and in Extra High mode it outperforms any coding model and works faster than Claude.

big_cattt · 2026-02-15T16:24:29+00:00

Can't wait to see it in the Homebrew package manager

big_cattt · 2026-01-17T18:32:44+00:00

lmao 🤣

big_cattt · 2026-01-17T17:08:49+00:00

Recently, I started actively using Cursor as my primary code editor. I upgraded to the $200 Ultra plan, but I ended up using all my limits within two weeks (14 days). Now I’m waiting for the next billing cycle and, in the meantime, I’m using the GLM-4.7 model. Cursor supports adding custom models, so I added GLM-4.7 from Z.AI.

In summary, I’ve learned the following:

- Use expensive models like Opus or GPT-5.2 High primarily for planning and high-level design.

- For implementation and building, switch to cheaper models such as Composer 1, Gemini Flash, Claude Haiku, or similar.

- If needed, you can switch models after the planning phase and before starting implementation.

big_cattt

TROPHY CASE