Topics

Practical patterns and foundations for building with artificial intelligence.

Generative models, prompts, evaluation, and production workflows.

Tool use, orchestration, and reliable agentic systems.

Code, libraries, and workflows for useful software.

Ground language models in trusted, useful information.

Connect AI applications to tools and context with open protocols.

Tools and techniques that make engineering work better.

Small systems that remove repetitive work.

Architecture decisions for dependable software.

Notes from learning, building, and working in technology.