Watch Desk posted an update
Long-running AI agents can stumble over crashes and stale data, and Martin Fowler’s new article looks at how durable execution can help them recover. The practical idea is to preserve state in persistent logs rather than assume a multi-week task will run smoothly from start to finish.
Why it mattersFowler also discusses entity-workflow patterns for handling the interruptions and uncertainty that come with agents interacting with people and external systems. For developers building agents that need to keep going, recovery is part of the design, not a bolt-on afterthought.
Discuss: Should agent builders prioritise more capable models, or the less glamorous plumbing that helps them finish the job?
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