17 — Domain Tracks

Core Idea

C++ becomes most valuable when attached to a serious domain. Do not learn endless syntax in isolation.

Track 1 — Embedded and Robotics

Learn:

• C and modern C++,
• microcontrollers,
• memory-mapped I/O,
• interrupts,
• real-time constraints,
• RTOS basics,
• UART, SPI, I2C, CAN,
• sensors and actuators,
• control systems basics,
• ROS 2,
• Linux on embedded devices.

Good projects:

• sensor logger,
• motor controller,
• robot path planner,
• ROS 2 simulation,
• embedded Linux dashboard.

Track 2 — Systems and Backend Performance

Learn:

• Linux systems programming,
• files, processes, threads,
• sockets,
• epoll/io_uring basics eventually,
• memory management,
• concurrent server design,
• profiling,
• serialization,
• databases.

Good projects:

• TCP chat server,
• HTTP server,
• key-value store,
• log processor,
• job queue.

Track 3 — Quant and Low Latency

Learn:

• modern C++,
• data structures,
• cache-friendly design,
• concurrency,
• atomics,
• networking,
• Linux performance tools,
• probability/statistics,
• market data,
• order books.

Good projects:

• order book simulator,
• market data parser,
• backtesting engine,
• low-latency message queue.

Track 4 — Game, Graphics, and Simulation

Learn:

• game loops,
• ECS architecture,
• memory pools,
• physics simulation,
• rendering basics,
• real-time performance,
• input/audio basics.

Good projects:

• 2D engine,
• particle simulator,
• physics sandbox,
• pathfinding visualizer.

Track 5 — AI Infrastructure

Learn:

• Python + C++,
• PyTorch basics,
• C++ Python extensions,
• CUDA eventually,
• model serving,
• vector search,
• inference optimization,
• profiling.

Good projects:

• Python extension in C++,
• vector search toy engine,
• inference server,
• model evaluation pipeline.

Track 6 — Cybersecurity / Security Engineering

Learn:

• C/C++ memory safety,
• binary formats,
• networking,
• fuzzing,
• sanitizers,
• secure coding,
• reverse engineering basics.

Good projects:

• packet parser,
• fuzzer harness,
• safe file format parser,
• vulnerability reproduction lab.

How to Choose

Pick based on what you can sustain:

• Like hardware? Embedded/robotics.
• Like performance? Systems/quant/game.
• Like AI? AI infrastructure.
• Like breaking things? Security.
• Like products? Backend performance plus Python/TypeScript.