• Local-First & Zero-Trust Privacy: "No uploads. No servers. No tracking" (whenever possible). Prioritizing client-side execution, offline functionality, and absolute data privacy by keeping computations on the user's machine.
• Mechanical Sympathy & Low-Level Control: Preferring low-level implementations (Rust/C++) when latency, memory constraints, and system reliability are critical, ensuring predictable performance under load.
• First-Principles Algorithm Design: Writing high-performance algorithms and custom data structures from scratch when off-the-shelf libraries or abstraction layers introduce unnecessary overhead, memory bloat, or dependencies.

• Rust (Default Core)

  • Use Cases: Greenfield native cores, security-sensitive cryptography (RustCrypto, ring), cross-platform logic shared across Android/iOS/Desktop via UniFFI, zero-data-race concurrent systems, high-reliability backends (Axum, Actix), high-performance CLI tools, and WebAssembly.
  • When to choose: Building from scratch for long-term maintainability where memory safety and performance are non-negotiable.

• C++ (Ecosystem-Driven)

  • Use Cases: Real-time game/graphics engines (Unreal, custom), audio/video processing and codecs, computer vision (OpenCV), heavy numerical computing (Eigen, BLAS/MKL, CUDA), embedded systems, and legacy codebase integrations.
  • When to choose: When target ecosystems require official C++ drivers or absolute low-level hardware control.

Backend Decision Protocol:

1. Standard I/O-bound API: Python / FastAPI.
2. High-Demand Systems: Rust by default.
3. Rule: All high-performance code targets Rust; C++ is introduced strictly when forced by specific library dependencies.

• The Web Triad (JavaScript, HTML, CSS)

  • Use Cases: Web applications, interactive dashboards, SaaS frontends, and PWAs.
  • When to choose: When rapid iteration, universal distribution, and zero-installation access via the browser are required.

• Kotlin (Jetpack Compose)

  • Use Cases: Native Android UIs, notifications, navigation, and Android SDK integration.
  • Architecture: Kotlin handles the UI layer; heavy lifting runs on the underlying Rust core via UniFFI.

• Swift (SwiftUI)

  • Use Cases: Native iOS UIs, Apple ecosystem integration, and declarative interfaces.
  • Architecture: Swift handles the UI layer, consuming the exact same shared Rust core via UniFFI bindings.

UI Decision Protocol:

• Mobile App Store distribution: Native Kotlin / Swift frontends + Single shared Rust core.
• Universal browser reach: Web Triad / PWA.

• Python
  • Use Cases: Data science, ML/AI exploration, vectorized mathematical modeling (NumPy, SciPy, Polars), web automation, web scraping, rapid REST APIs (FastAPI), and algorithmic prototyping before compiling to Rust or C++.
  • When to choose: When development speed outweighs execution latency, or when validating ideas against data.

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