Stack Overflow Survey 2026: Only 6.6% Trust AI With Big Calls

Stack Overflow Survey 2026: Only 6.6% Trust AI With Big Calls

Enterprise Developer Platforms

Of more than 14,000 developers who answered the 2026 Stack Overflow Developer Survey’s question on when they trust AI, just 949, or 6.6%, said they trust it for many tasks including important work decisions. That number matters to every platform team rolling out coding agents: developers are using the tools daily, but almost none will let them make a consequential call unchecked.

6.6%
of 2026 Stack Overflow survey respondents who trust AI for many tasks, including important work decisions

The Number

The 2026 Stack Overflow Developer Survey collected 30,903 responses from 169 countries. On the trust question, the largest group, 48.0% (6,872 people), said they trust AI when they can easily verify the output. Another 16.3% trust it for many tasks but not important work decisions, 16.3% for low-risk work only, and 12.3% don’t trust it for most work tasks. Only 6.6% extend trust to important decisions, the figure Docker rounds to 7% in its blog post on the results.

How the Math Works

Trust is low, but use is high. The survey’s AI section reports that coding assistants and agents are now the dominant AI use case at 66%, that 73% of respondents use them daily, and that nearly a third of daily users spend more than four hours a day with them. Claude Code (66%) and GitHub Copilot (59%) lead among coding agents. The survey’s own reading is that developers trust AI where they can check the answer, such as familiar code or debugging, and that human-in-the-loop is the dominant way of working.

Security sits close behind accuracy as an adoption gate. Docker’s reading of the results is that security and privacy ranked as the second biggest factor in whether teams adopt or expand AI tools, behind only accuracy, and its post adds that nearly one in four developers said AI-related security or privacy issues cost their team time in the past year.

What It Signals

Docker, whose post comes from its marketing team, draws a clear commercial conclusion: trust is the missing ingredient for running agents in production, and the answer is isolation. It points to the survey ranking Docker the most used (59%) and most desired (38%) tool in the cloud development category, and argues that sandboxes, not containers, provide the isolation autonomous agents need. Its recent launches follow that line: Docker Cloud Sandboxes, the Sandbox Kit specification it has committed to submitting to the CNCF, and a $250 credit for Docker Sandboxes sign-ups before October 31.

The survey supports the problem more than the product. Developers trust what they can verify, and an isolated environment with a reviewable result is one way to make agent work verifiable. Stack Archive’s guide to running Harbor agent evals in Docker Sandboxes microVMs shows what that looks like for evaluations.

The So What

Platform teams expanding coding agents should design for the 48% who trust only what they can verify: run agents in isolated environments, require reviewable diffs and test evidence before merge, and keep important decisions with a human until the team’s own data, not a vendor survey reading, shows the agent has earned more.

Source: Docker Blog

Content created with AI assistance and reviewed for accuracy.

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