Discuss agent architectures and share learnings with the community.
Google's Agent Development Kit is the same framework that powers Agentspace and its own production agent surfaces, open-sourced. Here is the complete map: agents, orchestration, tools, MCP, A2A, the dev UI, and a working enterprise build you can deploy with one call.
Hiring managers don't want another prompt course. They want evidence you can orchestrate rejection loops: eval harnesses, critic gates, and shipped agent workflows in public.
Model Context Protocol servers look simple in a tutorial. In enterprise they need auth boundaries, schema versioning, blast-radius limits, and observability. Otherwise they become your next outage.
Every frontier jump improves generation faster than most teams improve verification. Enterprise risk compounds silently: more output, same taste perimeter.
Short-term scratchpads, long-term knowledge stores, and session boundaries each solve different problems. Treating chat history as memory is why your agent forgets what mattered.