Build your first AI agent: what actually makes one work
Build your first AI agent: the reason-act-observe loop, choosing between sequential, reactive and planning shapes, and the ADK LoopAgent trap that burns tokens.
Build your first AI agent: the reason-act-observe loop, choosing between sequential, reactive and planning shapes, and the ADK LoopAgent trap that burns tokens.
How to build an MCP server for an ADK agent: McpToolset, FunctionTool schema generation, the stdout trap, and writing tool docstrings a model can use.
AI agent costs multiply in ways per-request pricing never warns you about. Learn where the spend hides and the controls that keep it bounded and predictable.
Editing the system prompt will not stop prompt injection. Learn why it is an architecture problem and the design patterns that actually contain it in production.
Self-hosting an AI agent that runs shell commands? Learn the threat model and the concrete controls (containers, network limits, secrets, audit logs) to sandbox it.