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A modernization guide for choosing between C++, Rust, wrapping, or leaving a subsystem alone. It focuses on delivery risk, integration boundaries, and business impact.
A technical guide to why C++ still matters for AI inference engines. It covers native integration, memory control, performance tuning, and predictable delivery paths.
A grounded comparison of C++ and Rust for AI-era systems work. It explains where C++ still wins on tooling, integration depth, profiling, and delivery speed.
A practical guide to the main C++ libraries for neural-network inference and deployment. It shows where ONNX Runtime, LibTorch, OpenVINO, TensorFlow Lite, and llama.cpp fit in production systems.
A technical comparison of where C++ and Rust fit in decentralized exchange stacks. It maps smart-contract work, simulators, routing, and low-latency off-chain infrastructure.
A practical look at why C++ still matters in high-frequency trading. It connects market data, order books, replay, profiling, and deterministic latency engineering.
