# Deciding Whether to Continue a Stagnating Software Project in the AI Era

DevFeed: [Deciding Whether to Continue a Stagnating Software Project in the AI Era](<https://devfeed.tech/articles/the-danger-of-the-ok-project-38753.md>)

Original publisher: [Read original article](<https://www.paleblueapps.com/rockandnull/the-danger-of-the-ok-project/>)

Author: Mike Yerou

Published: 2026-03-31T12:48:11Z

Content type: opinion

Language: en

Sources: [Rock and Null](<https://devfeed.tech/sources/rock-and-null.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Software](<https://devfeed.tech/topics/software.md>), [Users](<https://devfeed.tech/topics/users.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [business](<https://devfeed.tech/tags/business.md>), [data](<https://devfeed.tech/tags/data.md>), [software](<https://devfeed.tech/tags/software.md>), [thoughts](<https://devfeed.tech/tags/thoughts.md>), [timing](<https://devfeed.tech/tags/timing.md>), [users](<https://devfeed.tech/tags/users.md>)

## AI overview

The article examines the difficulty of deciding whether to continue a software project that has users and some traction but is neither a clear failure nor a clear success. It argues that rapidly changing AI tools and markets make waiting riskier, while retention data, intuition, and current traction can inform the choice between continuing and moving on.

## Source excerpt

Most projects don't fail spectacularly; they just linger in the "middle." In a fast-moving AI era, deciding if your current traction is enough to keep going, or if it's time to move on.