SergeyWh1te

As a Rust engineer, please learn: --- Foundation (Beginner → Competent) The fundamentals that separate “I can write Rust” from “I understand Rust.” - Core Language - Ownership, Borrowing, Lifetimes (the real entry exam) - Result, Option, pattern matching - Slices, strings, references, iterators - Traits & generics (parametric polymorphism) - Error handling (thiserror, anyhow) - Cargo workspaces & dependency management Mental Models - Move semantics vs Copy semantics - Zero-cost abstractions - Stack vs heap & how Rust allocates - Why Rust is not like C++, Go, or Python Must-Learn Tools - cargo test, cargo bench, cargo fmt, clippy - rust-analyzer --- Architecture (Intermediate → Solid Engineer) - Systems Patterns - Traits as interfaces - ZST strategy types & compile-time polymorphism - Phantom types for type-level invariants - Smart pointers (Arc, Rc, Weak, RefCell) - Concurrency primitives (Mutex, RwLock, channels) - Async Rust (tokio, async-std, executors) Memory & Performance - Profiling (perf, flamegraph, cargo profiler) - Allocation patterns (Box, arenas, bump allocators) - Minimizing clones - Struct-of-arrays vs Array-of-structs - Cache friendliness Async & Networking - tokio::spawn, cancellation, backpressure - Streams, pinning, async lifetimes - Building servers with axum, warp, hyper --- Advanced (Production-Grade Rust Engineer) This is where Rust becomes a superpower. - Advanced Type System - Higher-ranked trait bounds (HRTBs) - GATs (generic associated types) - Advanced lifetimes & variance - Type-state programming - Custom derives & procedural macros Unsafe & FFI - Safe wrappers around unsafe code - Writing bindings to C/C++, Python, Zig - Understanding UB, aliasing rules, and memory models Data Structures - Lock-free structures - Custom allocators - Building your own iterator adaptors - Arena allocators for high-performance workloads Concurrency & Parallelism - Work-stealing runtimes - Custom executors - Actor models (e.g., building your own mini-Actix) --- Production (Deploying Rust in Real Systems) Most engineers fail here — Rust doesn’t forgive sloppy production design. - Engineering Practices - Deterministic error handling - Observability (OpenTelemetry, tracing spans) - Feature flags - CI/CD checks (fmt, clippy, tests, benches, docs) - Load testing & regression benchmarking System Design with Rust - Building high-throughput services (100k–1M RPS) - Understanding Linux syscalls & epoll - Backpressure handling - Graceful shutdown & cancellation - Horizontal scaling architecture Security & Safety - Memory-safe FFI boundaries - Sandboxing & capability-based design - Auditing unsafe blocks --- Frameworks & Ecosystem - Web → Axum, Hyper, Actix - DB → sqlx, SeaORM, SurrealDB client - Messaging → Kafka, NATS, MQTT clients - Agents/RAG →Ollama bindings, Candle, Burn