Code Quality in the Age of AI ✅

How to create a process for quality throughout the whole SDLC.

Last month, the 2024 DORA report came out, and as always it was full of interesting insights. A good part of it explored the impact of AI on engineering teams, and reported a surprising finding: Despite AI’s potential benefits, our research revealed [that] AI adoption may negatively impact software delivery performance. As AI adoption increased, it was accompanied by an estimated decrease in delivery throughput by 1.5%, and an estimated reduction in delivery stability by 7.2%. So, in many cases, the gains in pure coding throughput do not translate into general software delivery…

related reading

• AI is removing the middle class of software engineeringblog.florianherrengt.com
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• dex (@dexhorthy) on Xx.com
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• suzyahyah.github.iosuzyahyah.github.io
• Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wildalphaxiv.org
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