All Topics
All Topics
Technology
Technology
Design
Design
Programming
Programming
Science
Science
News
News
Gaming
Gaming
Entertainment
Entertainment
Business
Business
Finance
Finance
Sports
Sports
Health
Health
Food
Food
Travel
Travel
Art
Art
Music
Music
Books
Books
Education
Education
Politics
Politics
Personal
Personal
No algorithm. No AI slop. No ads. Just RSS. Pro-human. Indie writers. Real journalism. Open web. Chronological. Hand toasted.

Why AI Coding Agents Need to Think Beyond "Done"

By

Addy Osmani

9d ago· 12 min readenInsight

Summary

The article discusses how AI coding agents default to taking the shortest path to "done" — writing code immediately without considering specifications, tests, security boundaries, or code review implications. It draws a parallel to the failure mode that senior engineers learn to avoid over their careers, emphasizing the need for more thoughtful, structured approaches to AI-assisted software development.

Key quotes

· 5 pulled
The default behavior of any AI coding agent is to take the shortest path to 'done.'
Ask for a feature and it writes the feature.
It doesn't ask whether you have a spec, write a test before the implementation, consider whether the change crosses a trust boundary, or check what the PR will look like to a reviewer.
It produces code, declares victory, and moves on.
This is the same failure mode every senior engineer has spent their career learning to avoid.
Snippet from the RSS feed
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. The default behavior of any AI coding agent is to take the shortest path to “done.” Ask for a feature and it writes the feature. It do

You might also wanna read