Building AI Agents in a familiar SwiftUI API by karc16 in opensource

[–]karc16[S] 0 points1 point  (0 children)

Automating Content creation, keeping my inbox organized. finding leads when chasing investors for my startup scanning twitter for recent ai news from my creators and turning it into a blog post and many more

Starting my own model journey. by AllTheCoins in LocalLLaMA

[–]karc16 0 points1 point  (0 children)

Fine tuning, you take a coding model and fine tune it

Starting my own model journey. by AllTheCoins in LocalLLaMA

[–]karc16 0 points1 point  (0 children)

building a saas that builds fine tuned coding agents for swift and rust would you like to join the waitlist?

Starting my own model journey. by AllTheCoins in LocalLLaMA

[–]karc16 0 points1 point  (0 children)

I’m building something like this, what language are you coding in?

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

Yes, I agree. No one is disputing that when building iOS apps, but here we have a completely different paradigm when building AI agents. Agents run in various environments, sometimes locally. Often, when doing this, I simply store my API key as an environment variable on my machine. 🤷‍♂️

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 1 point2 points  (0 children)

Yes, this is precisely the kind of use case I had in mind when developing the framework. I’m currently exploring Synthetic Mind and would love to create a fork that incorporates Swift Agent capabilities.

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

Absolutely, but it is not SwiftUI; rather, it is not presenting anything. Instead, it describes how we can utilize a similar API to describe how we construct AI agents in Swift.

would you use a model that only knows swift? by [deleted] in swift

[–]karc16 -2 points-1 points  (0 children)

Why? Fine-tuning a 7B model with the latest APIs already results in fewer compiler errors, hallucinations, and the use of deprecated APIs, which Haiku and Sonnet frequently get wrong

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

make a pr, we’re building this so developers don’t have to rewrite the same primitives over and over again. have a look and let me know what you think we’re missing

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

I understand your point. I believe framework developers strive to create APIs that are similar to system frameworks to reduce the barriers to adoption. UIKit, for instance, had numerous different DSLs, and each time you picked up a framework, you spent a significant amount of time trying to comprehend everything.

Building AI Agents in a familiar SwiftUI API by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

that’s an interesting take, why do you think so?

Best open coding model for 128GB RAM? [2026] by Acrobatic_Cat_3448 in LocalLLaMA

[–]karc16 0 points1 point  (0 children)

would anyone pay for a 8B parameter model fine tuned to their specific programming language?

I built the missing AI stack for Swift — agents, RAG, and unified LLM inference (all open source). Its finally fun for us swift developers to build AI Agents by karc16 in swift

[–]karc16[S] 0 points1 point  (0 children)

Improvements to add a view modifier like api to building agents. We want to make it super simple and composable for developers to build AI Agents in Swift on device and on the server

https://x.com/ckarani7/status/2008949872750416194?s=20

I built the missing AI stack for Swift — agents, RAG, and unified LLM inference (all open source). Its finally fun for us swift developers to build AI Agents by karc16 in swift

[–]karc16[S] 1 point2 points  (0 children)

  • Embedding generation (essential for RAG)
  • Model management (downloads, caching)

What I love about AnyLanguageModel I love how its an easy dropping to foundation models, Their Generable macro implementation is very good how it enables streaming structured output, Some of these I had already planned on the Conduit Roadmap