# AI agent reliability requires recovery infrastructure for partial failures

DevFeed: [AI agent reliability requires recovery infrastructure for partial failures](<https://devfeed.tech/articles/ai-reliability-is-a-decade-old-problem-and-we-re-still-only-solving-half-of-it-35704.md>)

Original publisher: [Read original article](<https://temporal.io/blog/ai-reliability-is-a-decade-old-problem>)

Author: Melanie Warrick

Published: 2026-04-01T00:00:00Z

Content type: opinion

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [coding assistant](<https://devfeed.tech/topics/coding-assistant.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [image recognition](<https://devfeed.tech/topics/image-recognition.md>), [Google](<https://devfeed.tech/topics/google.md>), [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [coding-assistant](<https://devfeed.tech/tags/coding-assistant.md>), [google](<https://devfeed.tech/tags/google.md>), [image-recognition](<https://devfeed.tech/tags/image-recognition.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>), [recommendation-systems](<https://devfeed.tech/tags/recommendation-systems.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

## AI overview

AI agents can reason through complex tasks and run long workflows, but failures during execution can compound when systems cannot checkpoint progress, recover from partial failures, or resume work. The article argues that dependable AI requires durable infrastructure and resilience in addition to better models, placing current agent reliability challenges in the context of earlier AI failures.

## Source excerpt

Smart AI agents still fail mid-workflow. Learn why solving the AI reliability gap requires durable infrastructure, not just better models.