Actually, I just posted this on Mastodon, but I so agree to all those points that I want to reference them here on the blog as recommended reads as well.
Generative AI is reshaping software engineering—but the narrative has gotten ahead of the evidence. Marketing claims, anecdotal wins, and misread studies have given rise to a set of persistent myths that are quietly driving poor decisions about AI adoption, tooling, and how to measure success.
https://queue.acm.org/detail.cfm?id=3807963
This article examines eight of the most common misconceptions.
- Developers Spend Most of Their Time Writing Code
- Writing Code Is the Bottleneck
- Lines of Code Written by AI Is the Best Measure of Impact
- AI Helps All Tasks and Engineers Equally
- AI Will Turn Individual Developers into 10x Developers
- It’s Up to Each Developer to Make AI Workgg
- High-Performing AI Tools Will Be Adopted Automatically
- With GenAI, Enterprises Can Innovate at Startup Speed
See the full article here: https://queue.acm.org/detail.cfm?id=3807963
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