# Extract, Edit, Apply

DevFeed: [Extract, Edit, Apply](<https://devfeed.tech/articles/extract-edit-apply-67157.md>)

Original publisher: [Read original article](<https://githubnext.com/projects/extract-edit-apply/>)

Published: 2025-04-28T00:00:00Z

Content type: article

Language: en

Sources: [GitHub Next](<https://devfeed.tech/sources/github-next.md>)

Topics: [Spec Driven Development](<https://devfeed.tech/topics/spec-driven-development.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Hallucination detection](<https://devfeed.tech/topics/hallucination-detection.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [code](<https://devfeed.tech/tags/code.md>), [code-generation](<https://devfeed.tech/tags/code-generation.md>), [natural-language](<https://devfeed.tech/tags/natural-language.md>), [software](<https://devfeed.tech/tags/software.md>), [software-development](<https://devfeed.tech/tags/software-development.md>)

## AI overview

The Extract, Edit, Apply concept uses editable, temporary code summaries as specifications: users can change a summary, review a corresponding proposed code change, and accept or reject it. The approach aims to help modify complex codebases while retaining code as primary and natural language as a way to describe changes.

## Source excerpt

An exploration of a new category of assists for using natural language in software development.