AI agents are everywhere in 2026. But in build infrastructure, the gap between marketing and reality is wide. Here's what actually works.

What AI agents do well

Log triage

An agent can watch build logs in real-time, classify failures, and surface the most likely root cause before a human opens the dashboard.

Flaky test detection

If a test fails once and passes on retry, an agent can flag it as flaky, open a ticket, and move on. Humans are terrible at this. Agents are perfect.

Dependency monitoring

An agent can watch for new Unity versions, SDK updates, and package releases, and open PRs with the changes.

What AI agents don't do well

Fix the actual build

When your build fails because of a genuine code problem, no agent can fix it. They can point you to the right file and line number — but that's a CI dashboard, not an AI breakthrough.

The pragmatic approach

Use AI agents as triage, not as builders. The best setup I've seen: an agent monitors every build, routes failures to the right person, and closes the loop when the fix lands. Humans design. Agents watch. Together, the pipeline stays healthy.