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From Containers to Sandboxes: What the 2026 Stack Overflow Survey Tells Developers About Trust in AI Agents

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Diagram showing sandbox isolation vs container isolation for AI agents
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Summary

  • Docker is the most used (59%) and most desired (38%) tool in the survey’s cloud development category.
  • Only 7% of developers trust AI output for important work decisions.
  • Nearly half (48%) trust it only when they can verify it themselves.
  • The Stack Overflow Developer Survey reached more than 30,000 respondents across 169 countries.

From Containers to Sandboxes: Developer Trust in the Agentic Era captures Docker’s interpretation of the Stack Overflow 2026 survey, which reached more than 30,000 respondents across 169 countries.

The post emphasizes sandboxes over containers for isolating autonomous agents and notes Docker’s continued prominence in container tooling.

TRUST IN AI OUTPUTS AMONG DEVELOPERS

"Only 7% of developers trust AI output for important work decisions."

"Nearly one in four developers said AI-related security or privacy issues cost their team valuable time in the past year."

"Nearly half (48%) trust it only when they can verify it themselves."

WHY SANDBOXES ARE HIGHLIGHTED FOR AGENTIC WORKLOADS

We’re all-in on sandboxes, with Docker framing sandboxes as providing the level of isolation required to contain autonomous agents.

The broader narrative positions sandboxes as a means to extend trust—without discarding the role of containers in ongoing development workflows.

DOCKER’S CONTAINER DOMINANCE AND THE SANDBOX PIVOT

"Docker is the most used (59%) and most desired (38%) tool in the survey’s cloud development category."

This underscores Docker’s centrality in current workflows while the industry pivots to sandboxed approaches for AI agents.

SCOPE AND REACH OF THE SURVEY DATA

The Stack Overflow Developer Survey is described as a de facto standard for developers and, per Docker’s summary, involved more than 30,000 respondents across 169 countries.

This context helps frame trust and tooling choices but also signals that regional or domain variations may exist in interpreting the results.