AgentsSeptember 16, 2026via InfoQ AI/ML

Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review

Why it matters

Autonomous code review at scale requires more than the agent itself—it demands developer education and observability. Duolingo's case study shows how cultural adoption, not just tool access, unlocks agent reliability in production.

Key signals

  • Duolingo deployed automated PR risk-assessment bot for code review
  • Internal AI literacy workshops paired with agent guardrails
  • Observability dashboards tracked agent performance
  • Delivery speed increased without increase in defect rates
  • Focus on cultural AI adoption beyond tooling access
  • Duolingo deployed autonomous PR risk-assessment bot in code review
  • Paired agent deployment with targeted developer education workshops
  • Implemented observability dashboards for agent monitoring
  • Delivery speed increased without increasing defect rates
  • Case study on cultural AI adoption beyond tooling access
  • Safe AI guardrails paired with agent autonomy for risk management

The hook

Not a pilot. Duolingo deployed an autonomous code-review agent across engineering, paired it with literacy training, and didn't tank quality.

Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing target

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