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Frontier model training has quietly shifted from a chip problem to a power-and-capital problem. A grounded look at the four scarce inputs (compute, power, data, talent) and who should (and shouldn't) build from scratch.

A systems-level deep dive into vLLM: PagedAttention, the scheduler, KV cache management, continuous batching, tensor parallelism, speculative decoding, and the V1 architecture.

In ~30 minutes, Claude Code built a working SQL engine from scratch. This is my reflection on vibe coding with AI — what worked and what didn't.

Learn how to implement distributed locking with Redis to handle concurrent processes in a movie booking system. This tutorial covers building a FastAPI application with Redis for managing shared resources safely.

Keeping track of changes and revisions of your data is more crucial than ever in the fast-paced world of AI, data science, and analysis today. A crucial tool for managing these changes is version control, which makes it simple to keep track of, work together on, and go back to earlier iterations of your data.