Ask HN: Did modern AI's coding abilities make you lose interest in programming?

Prompt: "Without conducting any research or inference, what is iOS 26?" GPT-5: "iOS 26 does not exist within my training data" Claude 4.1: "I don't have any information about iOS 26" Gemini: "I cannot answer your question about iOS 26"

They don't know it exists, let alone Apple Intelligence updates.

Try asking for actual code: "Write iOS 26 Foundation Models code" "What's SystemLanguageModel in iOS 26?" "How do I implement Liquid Glass design?"

Complete failure across all models. No AI assistant - not even GPT-5 - can write iOS 26 code. With 12 days until release, developers need to ship iOS 26 apps without AI support.

The urgency: - Apple Intelligence requires Foundation Models - Liquid Glass design becomes 'mandatory' - To be perceived as modern, apps need updates by Sept 15

Since July, I've documented iOS 26's frameworks in LLM-ready format.

31 technical files covering Foundation Models, Liquid Glass, Swift Charts, migration patterns - all tested on iOS 26 beta.

https://llmbridge.gumroad.com/l/elbve

The knowledge gap is real.

Comments (5)

jjice · 1h ago

Ask one of them do do a websearch or mention that it's recent info and they become much more effective at things that are new. I know the prompt says not to conduct research, but why not? I prefer having more up to date info.

rileygersh · 1h ago

Web search helps but has drawbacks. For individual developers: each search adds latency and compute costs (API calls, processing, synthesis). The training dataset aggregates all that searchable information once, structures it for AI ingestion, then eliminates redundant processing. Instead of search-wait-paste cycles with inconsistent fragments, you get comprehensive framework knowledge instantly. This captures deeper insights (like constrained decoding architecture and ToolOutput patterns) that aren't easily found through search.

Front-loading the knowledge processing means every subsequent interaction is faster and lighter than triggering new searches.

This touches on an interesting concept - knowledge arbitrage - this information has a shelf life, once the SOTA LLMs know about iOS 26 my files turn into the Beta Max of training data.

Here's how i did it:

https://rileygersh.medium.com/how-i-gave-claude-gemini-knowl...

john_wick321 · 1h ago

“Interesting post. The gap you highlight makes sense — large language models can’t know about iOS 26 until the frameworks and docs are public. What matters is how quickly developers + AI tools adapt once the release lands. The files you’ve prepared sound useful for anyone who wants a head start, especially with Liquid Glass and Foundation Models becoming essential.

codingdave · 1h ago

> developers need to ship iOS 26 apps without AI support.

oh noes! the tragedy! the horror! /s

But in all seriousness, if you are trying to say "buy my book", just say it. This post is clearly marketing for your gumroad content. Self-promotion is allowed on HN, once in a while, within reason. Your posting history shows you aren't really falling within that "once in a while" guideline. But even if you were... if you are going to self-promote, step up and do it. The only thing more annoying than someone who does nothing but self-promote is when they do so without transparency.

rileygersh · 1h ago

You're right about the transparency. I am selling training data for iOS 26 - $19.99 for the bundle.

The post demonstrates a real problem (LLMs don't know iOS 26 exists) and offers a solution I created. The urgency is genuine - iOS 26 releases September 15 and developers are finding their AI tools useless for Foundation Models work. Some dev somewhere is praying they don't have to work through Labor Day weekend debugging Foundation Models without AI help. We're all now used to AI assistance - losing it for new frameworks hurts.

Regarding posting frequency - I posted about this in July when I first created it, now again 6 weeks later because the landscape paradoxically hasn't changed: Claude 4.1 and GPT-5 both released post-WWDC yet still don't know iOS 26.

The value proposition is straightforward: Aggregating and structuring iOS 26 documentation saves developers countless hours of searching and piecing together fragments. At $19.99, it's less than 15 minutes of developer time.

I appreciate the direct feedback.

The post could have been more upfront about the commercial aspect while still demonstrating the technical problem.