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The Instruments of LLM training — a native macOS cockpit for Forge. Train language models from scratch on Apple Silicon without a terminal.

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# CLAUDE.md — Forge Studio

Instruction to Claude: Every source file created in this project (Swift, scripts, plists, Metal, Makefiles) must begin with a header comment containing: Author: Simon-Pierre Boucher — contact@spboucher.ai

Quality bar: This app must feel like a first-party Apple pro tool — the "Instruments of LLM training." Every screen, every chart, every error message is judged against that standard. If a feature would ship half-working, it doesn't ship; it gets fixed. No placeholder UI, no TODO left in released code, no chart that jitters, no run state that can be lost.

(Spec complète fournie par l'utilisateur — voir la conversation d'origine ; ce fichier reprend les points de contrat. L'app est le compagnon GUI de Forge : https://github.com/spboucher-ai/forge — datasets, config, runs, dashboard de métriques légendaire, checkpoints/génération/éval, DMG signé/notarisé.)

  • macOS 14+, Apple Silicon, Swift 5.10+/SwiftUI/Swift Concurrency, Swift Charts.
  • Build canonique : SwiftPM (pattern zyquo-term) ; l'app pilote le binaire forge en sous-processus ; métriques via log.csv (flush par step, voir RESEARCH.md).
  • Signing/notarization : identité et profil extraits de zyquo-term (voir scripts/notarize.sh) — Team 3YM54G49SN, profil keychain "MacLustr-Notarize".