tech
AI Made Your App Teams 10x Faster. Nobody Gave Your Platform Team 10x the Headcount.
Nobody meant to break anything. A user asked for something routine, an agent found a path through the system, and a Kafka cluster went down. That’s the part that doesn’t show up in productivity dashboards.
TL;DR
- AI agents are now involved in operations, running release loops and building features end-to-end.
- As app teams accelerate, platform teams face an increased and unbudgeted operational burden.
- Platform agents operate with different rules and a wider blast radius than typical tooling can handle.
- A practical control layer is needed to absorb agent-created work without causing bottlenecks.
- An evaluation discipline is crucial for determining agent autonomy levels.
- Document creation involves a private eval suite and a tiered action-class policy.