To vibe or not to vibe
Read OriginalThis article, part of Thoughtworks' 'Exploring Gen AI' series, argues against a binary view of AI-generated code review. The author, a Distinguished Engineer, explains how she uses a risk assessment framework based on probability, impact, and detectability to decide when and how much to trust and review AI-generated code, making the process more intuitive with experience.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Fix your upgrades and migrations with Codemods
Cassidy Williams
•
2 votes
2
Designing Design Systems
TkDodo Dominik Dorfmeister
•
2 votes
3
A simple explanation of the big idea behind public key cryptography
Richard Gendal Brown
•
2 votes
4
Introducing RSC Explorer
Dan Abramov
•
1 votes
5
The Pulse: Cloudflare’s latest outage proves dangers of global configuration changes (again)
The Pragmatic Engineer Gergely Orosz
•
1 votes
6
Fragments Dec 11
Martin Fowler
•
1 votes
7
Adding Type Hints to my Blog
Daniel Feldroy
•
1 votes
8
Refactoring English: Month 12
Michael Lynch
•
1 votes
9
Converting HTTP Header Values To UTF-8 In ColdFusion
Ben Nadel
•
1 votes
10
Pausing a CSS animation with getAnimations()
Cassidy Williams
•
1 votes