AI Engineering Report 2026: AI coding tools are delivering real throughput gains. But they are also flooding engineering systems, built for human-paced development and human-quality code, with output those systems were never designed to handle. This report analyzes telemetry from 22,000 developers across 4,000 teams to document what that transition has produced: more bugs, accelerating incidents, longer review cycles, and a quality gap that is widening as adoption deepens. Includes ten specific recommendations for engineering leaders on what to do next.

AI Engineering Report 2025: AI coding assistants are making individual developers faster. They are not making companies more productive. This report analyzes telemetry from 10,000 developers across 1,255 teams to document the gap: more tasks completed, more PRs merged—and a 91% increase in review time, a 154% surge in PR size, and no measurable improvement in DORA metrics at the organizational level. Includes five enablers that engineering leaders can act on now.