# How Evaluation-Driven Development (EDD) Works

DevFeed: [How Evaluation-Driven Development (EDD) Works](<https://devfeed.tech/articles/how-evaluation-driven-development-edd-works-18296.md>)

Original publisher: [Read original article](<https://www.decodingai.com/p/how-evaluation-driven-development-works>)

Author: Paul Iusztin

Published: 2026-06-23T08:57:02Z

Content type: tutorial

Language: en

Sources: [Decoding ML](<https://devfeed.tech/sources/decoding-ml.md>)

Topics: [Development](<https://devfeed.tech/topics/development.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Ground truth / benchmark quality](<https://devfeed.tech/topics/ground-truth-benchmark-quality.md>), [dataset](<https://devfeed.tech/topics/dataset.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-evals](<https://devfeed.tech/tags/ai-evals.md>), [case-study](<https://devfeed.tech/tags/case-study.md>), [development](<https://devfeed.tech/tags/development.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [experiment](<https://devfeed.tech/tags/experiment.md>), [saas](<https://devfeed.tech/tags/saas.md>), [test](<https://devfeed.tech/tags/test.md>), [tests](<https://devfeed.tech/tags/tests.md>)

## AI overview

This case study explains Evaluation-Driven Development (EDD) for AI agents: measure a new feature, compare results before and after changes, and detect regressions before merging. It also discusses generating realistic test data when historical datasets, traces, or ground truth are unavailable.

## Source excerpt

Turn every AI agent change into a measured experiment you compare before and after to detect regressions and measure performance.