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I like how Pi released an updated with a new oauth client name field for mcp where I just wrote Codex and Figma mcp works now.

I was wondering what kind of client name they were talking about.

It's really silly that this was the only means of blocking access. I expected them to have, I don't know, some sort of cryptographic signature or something.

An additional JWT with a long expiry time would even work here, anything.


Ironically, it's exactly the kind of "security" I imagine current Claude models would work around as a matter of course, with barely a note left for the user to know the agent hit a speed bump when operating the MCP.

This is so complicated, I would have to install mcp-adapter to Pi etc. I just have a public github repo with my Pi setup https://github.com/igorkulman/pi-skills


I use https://github.com/ZingerLittleBee/Heeler on iOS, works OK, but needs to be installed via TestFlight, not released yet.


Kind of bullshit, instead of cutting Claude Code token usage by 90% it is cutting Claude Code file read token usage by delegating reads to Gemini flash (with its own usage) and trusting the summary of files it provides is not crap.


Location: Prague, Czech Republic (EU). Remote: Yes, strongly preferred. Willing to relocate: No.

Technologies: Swift, SwiftUI, UIKit, Swift Concurrency, Combine, Core Data, REST, WebSockets, XCTest/XCUITest, CI/CD

Résumé/CV: LinkedIn: https://www.linkedin.com/in/igorkulman/ GitHub: https://github.com/igorkulman Blog: https://blog.kulman.sk/ Email: igor@kulman.sk

Senior iOS engineer with 10+ years of experience building and shipping native mobile applications.

I've worked on security and privacy-focused products including Proton VPN and Teamwire. My experience includes large long-lived UIKit codebases, real-time messaging, networking, persistence, application architecture, and maintaining production apps over many years.

Outside work I design and ship my own apps. Recent projects include Yomu, a Japanese reading app with adaptive furigana and an offline dictionary, and Setsumei, which analyzes Japanese sentences and explains their grammar.

Looking primarily for a senior iOS / Apple-platform product role. I'm also interested in AI-native developer tooling and engineering-productivity roles where strong software engineering experience is more important than an ML background.

EU citizen. Open to full-time or B2B.


yes, with qwen3.8-27b-4bit run via rapid-mlx i can get to about 200k


Nice.. and how many toks/sec?


Around 20


I am working on another iOS to help me learn Japanese, this time for explaining grammar. Put in a Japanese sentence, tap Analyze and you get grammar detected, highlighted, explained. There is a public testflight if anyone is interested https://setsumeiapp.kulman.sk/


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