Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building technical literacy — understanding APIs, databases, system architecture, and engineering tradeoffs.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Model Context Protocol — building tool integrations and server connections for AI agents.

Ship map-and-chat GeoAI apps: MCP geospatial tools, Pydantic AI agents, and AG-UI UIs, with context engineering for GeoJSON.

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