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Its arrival is a reminder to treat model upgrades as measurable, reversible application changes.</description><category>models</category><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Cloud Sandboxes move agent isolation beyond the laptop</title><link>https://rangoon.ai/insights/docker-cloud-sandboxes-agent-isolation/</link><guid isPermaLink="true">https://rangoon.ai/insights/docker-cloud-sandboxes-agent-isolation/</guid><description>Docker&#39;s Cloud Sandboxes extend its microVM model to managed compute. 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The GA milestone puts version choice, lifecycle tracking, and workload testing back in focus.</description><category>models</category><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate></item><item><title>MCP&#39;s stateless core changes the shape of tool infrastructure</title><link>https://rangoon.ai/insights/mcp-stateless-core-tool-infrastructure/</link><guid isPermaLink="true">https://rangoon.ai/insights/mcp-stateless-core-tool-infrastructure/</guid><description>MCP&#39;s July specification moved its core to stateless operation. The change makes ordinary web infrastructure a better fit for tool-service migration.</description><category>infrastructure</category><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate></item><item><title>OpenShell and NemoClaw draw a cleaner line around agents</title><link>https://rangoon.ai/insights/nvidia-openshell-nemoclaw-boundaries/</link><guid isPermaLink="true">https://rangoon.ai/insights/nvidia-openshell-nemoclaw-boundaries/</guid><description>NVIDIA&#39;s OpenShell and NemoClaw split the agent harness from its runtime controls. That separation gives security reviews clearer seams to inspect.</description><category>agents</category><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate></item><item><title>A2A v1.0 makes agent handoffs easier to inspect</title><link>https://rangoon.ai/insights/a2a-v1-stable-agent-handoffs/</link><guid isPermaLink="true">https://rangoon.ai/insights/a2a-v1-stable-agent-handoffs/</guid><description>A2A v1.0 stabilized an open protocol for agent-to-agent work. 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