Mark LevisonFeb 4

AI is making us write more code. That's the problem.

I analyzed research papers on AI-generated code quality. The findings:

→ 1.7x more issues than human-written code
→ 30-41% increase in technical debt
→ 39% increase in cognitive complexity
→ Initial speed gains disappear within a few months

We're building the wrong thing faster and calling it productivity.

Show threadMark LevisonFeb 4

The bottleneck was never writing code. It's understanding what to build.

If you're using AI coding tools, focus on:
• Smaller features (if it's 1000 lines, it's too big to review)
• Clear acceptance criteria before you prompt
• Tests first, AI-generated code second
• Security audits (AI can't do this)

More code isn't the goal. Solving real problems is.

Show threadMark Levison

Full analysis:
https://agilepainrelief.com/blog/ai-generated-code-quality-problems/?utm_source=mastodon&utm_campaign=archive-reshare

#AI #AIinSoftwareDevelopment

AI-Generated Code Quality and the Challenges we all face

Research shows AI-generated code has 1.7x more issues than human code. Analysis of several studies reveals growing technical debt and complexity with GenAI tools.

Agile Pain Relief
Feb 4 at 8:55pmWeb
Show threadSamFeb 5
@mlevison This talk on AI productivity from a Stanford researcher goes into detail on this. Really interesting and gels with what you're saying: the actual productivity gains tended to be with simple (low-complexity, greenfield) tasks rather than anything bigger or more complex. https://youtu.be/tbDDYKRFjhk?si=AM5DPcJGeg_3ignp
Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford

YouTube
Show threadMark LevisonFeb 5
@sambeaven Makes sense