Enterprise AI, agent architecture, and cloud systems
Architecture writing on agent systems, enterprise AI, and the production realities that only show up once something is running. Most articles ship with a working proof-of-concept you can clone and run.
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Categories
AI Agents
Agent architecture, MCP and tool protocols, memory, and multi-agent coordination.
Generative AI
LLM architecture, retrieval, evaluation, and the cost of running models in production.
Cloud Architecture
AWS, serverless design, and the operational reality of running systems at scale.
Data Engineering
Pipelines, vector search, and getting data into a state a model can actually use.
Architecture
Distributed systems, security, governance, and what production readiness really requires.
POCs
Working implementations that accompany the writing. Code you can run, not diagrams you cannot.