Categories

Agent architecture, MCP and tool protocols, memory, and multi-agent coordination.

LLM architecture, retrieval, evaluation, and the cost of running models in production.

AWS, serverless design, and the operational reality of running systems at scale.

Pipelines, vector search, and getting data into a state a model can actually use.

Distributed systems, security, governance, and what production readiness really requires.

Working implementations that accompany the writing. Code you can run, not diagrams you cannot.