Docker Sandboxes gives AI coding agents a disposable, isolated environment to work in, so the code they write and the packages they install never touch your host machine. Each agent gets its own sandbox that can be created, used, and thrown away. It is aimed at developers who want to let agents run commands freely without risking their local setup or a production system. The product is published by Docker and sits alongside its existing container tooling.
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Let an agent execute commands inside a throwaway sandbox
Keep experimental dependencies off your host machine
Spin up and discard an environment per agent run
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Guides and comparisons about code tools
Eleven new tools for running coding agents: sandboxes, agent version control, local runtimes and quantizers launched between April and October 2026.
Nine Show HN launches beneath the model: filesystems, snapshots, gateways and deploy tools that decide what an agent sees and what survives.
Nine launches that check agent work: per-call access policy, MCP server vetting, runtime verification, readable diffs and a hard stop at 95%.
Nine Show HN launches sitting under the agent: a model gateway, vectorless retrieval, on-device inference, an MCP browser layer and connectors for real systems.
Eight Show HN projects for trusting long agent runs: work context capture, distilled memory, folder fences, dollar budgets, plan review and tool governance.
