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production

4 posts

Ai Ml

Multi-Agent Systems & Production Platforms

One agent is a worker. A team of agents with a supervisor, evals, tracing, guardrails, and cost control is a platform. Here's when multi-agent actually helps, when it hurts, and the four pieces of scaffolding that turn a demo into a product you can run.

12 min read
Architecture

State, Cost, and the Production Surface

The invisible foundation beneath every AI harness layer: centralized state management, per-model cost tracking, rate limit handling, a custom React-to-terminal renderer, and multiple entry points. This post covers what makes 'works in a demo' become 'works in production.'

9 min read
Tutorial

Clean Code Python: From git init to Production Traffic

Theory without deployment is fiction. This capstone assembles all 22 prior patterns into a deployed, monitored, incident-ready multi-tenant Python backend — from Docker Compose to runbooks to your first production incident.

22 min read