Durable execution
Comes up in: AI engineering, AI system design
This concept is being written. It gets the full five steps — explanation, predict, interview angle, practice with tests, and review cards. Here is exactly what it will cover, so you can study it elsewhere in the meantime.
What it covers
- why long agent runs fail (timeouts, crashes, deploys)
- checkpointing state
- workflow engines (Temporal, Inngest, Cloudflare Workflows, LangGraph persistence — awareness)
- idempotent steps
- resuming after failure
Words you will know
What you will practise
- make a 10-step agent resumable after a crash
Interview questions this answers
- How do you make a long-running agent survive crashes and deployments?