The Rise of Inference Engineering

As open-weight models (like Llama and DeepSeek) reach parity with closed models, companies are shifting toward ‘inference engineering’ to gain control over latency, cost, and reliability. This discipline involves low-level optimizations such as quantization, speculative decoding, and KV caching to make AI products faster and cheaper than off-the-shelf APIs.

Demystifying the Bytecode VM

A deep dive into the mechanics of bytecode virtual machines, demonstrating how complex language features like conditionals and loops are reduced to simple jumps and stack operations. It reveals that the ‘magic’ of compilers is essentially a recursive walk that emits instructions for a dispatch loop to execute.