Google ships full agent lifecycle stack: context layers, self-heal, one-command deploy
blaizedsouza · x · 2026-09-17
A viral thread breaks down Google's new agent stack, which covers build, scale and govern and targets the common ways agents die in production:
- Context layers (Static / Turn / User / Cache): explicit control over what the model carries between turns, making token spend predictable
- Self-heal plugin: failed tool calls are retried differently instead of crashing the run
- ADK deploy: one command from laptop to managed runtime, no packaging or infra tickets
- Go joins Python and Java, with its own A2A SDK
- Ops dashboard for token consumption, latency, error rates and tool calls, plus a traces tab replaying the agent's actual action sequence and a playground wired to the deployed agent
The quoted article, "From 296 Agents to One Graph", argues for orchestrating complex agents as a graph rather than 296 untraceable workers.
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