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Something useful with your coffee

Practical AI engineering lessons, distilled from the good stuff and written for humans who build things.

Warm Coffee With Humans style illustration showing messy stacks of documents, logs, and tool cards being curated into a clean AI workbench with selected context cards, a test result, trace panel, and BrewBot.

Engineering

Context Engineering Is Working Memory Design

Context engineering is not prompt polish. It is the discipline of giving AI systems the right working set at the right moment, then keeping that context fresh, small, and verifiable.

Warm Coffee With Humans style illustration of an engineer sorting an AI agent workflow receipt into cache and batch queue trays while BrewBot watches beside a laptop trace gauge.

Engineering

Token Usage Is Agent Workflow Design

Token costs are not just a pricing problem. Learn how to reduce AI agent spend by measuring full runs, shrinking repeated context, caching stable prefixes, batching offline work, and routing tasks by value.

Warm Coffee With Humans style illustration of an MCP server checkpoint inspecting tool schemas, context packets, and an access token between an agent UI and protected systems.

AI Engineering

Treat MCP Servers Like Trust Boundaries

MCP makes agents useful by connecting them to real systems. That also makes every MCP server a security boundary worth designing, reviewing, and monitoring.