AI Agents Need Backend Engineers
A scaffold for explaining why production agents depend on permissions, state, retries, observability, and integration with real systems.
Thesis
LLM demos are easy; production agents need the same backend discipline as any other system that acts on behalf of users.
Context
- Where agent demos usually stop.
- Where production ownership begins.
- Why backend engineers are well positioned to close the gap.
Production Responsibilities
- Identity and permissions.
- Durable state and resumability.
- Idempotency, retries, and failure recovery.
- Audit logs and operational visibility.
- Integration boundaries with real business systems.
Tradeoffs
- Autonomy versus control.
- Speed of iteration versus safety.
- Generic agent frameworks versus domain-specific workflows.
Practical Checklist
- Define what the agent is allowed to do.
- Make every external action attributable.
- Record enough state to explain and recover work.
- Add evals before broadening autonomy.
Conclusion
Production agents are less about replacing backend systems and more about requiring better ones.