Field notes for AI systems engineers

AI systems, data infrastructure, and engineering tradeoffs.

AI is moving fast, and coding agents are taking on more of the implementation work. As the work changes, so does what engineers need to learn and remember. I write down the things I come across in practice that are worth knowing: core ideas, implementation details, and lessons from ML/AI, distributed systems, and data platforms.