Who it is forEngineering manager standardizing AI-assisted development across a team's Dev Container setup.
The problemGovernance depends on every developer and agent implementing it separately, so it is often missing or inconsistent.
The outcomeThe team's Dev Container carries the same Decionis policy and approval path, so governance travels with the environment.
What you need first
- A Docker environment, such as Docker Desktop, where you can run the Decionis components
- An AI agent or MCP client that can send proposed actions to Decionis before running a tool
- A written policy for which actions need PROCEED, HOLD, or BLOCK, since Decionis evaluates against versioned policy
- Awareness that the README says components are released incrementally, so some listed features may not be available yet
Steps
- Add the Decionis components to your team's Dev Container configuration.
- Attach the team's versioned policy so it applies in every developer environment.
- Confirm that agents launched from the Dev Container send consequential actions to Decionis first.
- Test one HOLD path and one BLOCK path in a non-production environment.
- Share the Dev Container definition so new developers get the same boundary.
Prompt for your agent
Using the decionis/docker repository, start the team Dev Container and send a test action named npm publish to Decionis from inside it. Expected output: a verdict with the policy name that governs the container. Verify that the verdict is HOLD or BLOCK under the team policy and that no publish runs.
Caveat. The README lists Dev Container integration as a later focus area, so the exact setup steps are not yet documented in this repository.
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