# Error Propagation

Error propagation is the calculation of how measurement uncertainties or errors carry through computations to derived results, including through arithmetic and mathematical functions.

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## Agentic AI testing guide: methods & best practices

DevFeed: [Agentic AI testing guide: methods & best practices](<https://devfeed.tech/articles/agentic-ai-testing-guide-methods-best-practices-4766.md>)

Original publisher: [Read original article](<https://redis.io/blog/agentic-ai-testing-guide-methods-best-practices/>)

Author: Jim Allen Wallace

Published: 2026-07-04T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [mutation-testing](<https://devfeed.tech/topics/mutation-testing.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [Error Propagation](<https://devfeed.tech/topics/error-propagation.md>), [observability](<https://devfeed.tech/topics/observability.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [errors](<https://devfeed.tech/tags/errors.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [testing](<https://devfeed.tech/tags/testing.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

### AI overview

A guide to testing agentic AI systems in production. It explains why agent testing must evaluate decisions, tool calls, memory retrievals, execution sequences, and trajectories rather than only final model outputs. The article discusses nondeterministic paths, error propagation, and the need for observability when agents use live data and external tools.

### Source excerpt

It's 3 AM and your agent is confidently booking the wrong flight, calling a deprecated API, and burning through tokens on a retry loop no one wrote. It passed every staging test last week. That gap between "works in staging" and "survives production" ...