u/Appropriate_Oil_385

Hi r/SampleSize,

I'm David, a bachelor student at ESADE (Spain). Together with two classmates, I'm writing my thesis on a question we haven't seen the literature address in yet: How organisations realise productivity gains from AI coding tools without quietly accumulating technical debt at the same pace.

If you've worked professionally with Copilot, Cursor, Claude Code, ChatGPT, CodeWhisperer, Tabnine, or an internal AI coding assistant for six months or more, your perspective would genuinely help us.

We're on a tight deadline to close data collection, so every response in the next few days really does make a difference, we'd very much appreciate the effort.

Time: ~6 minutes Eligibility: 18+, professionally used AI coding tools for 6+ months Responses are used only for the thesis.

Link: https://forms.gle/H8yUNuCfkfyH7aKn7

Thanks a lot for the help, it really does make a difference.

[Academic] How do organisations balance productivity gains from AI coding tools against technical debt? (Software engineers / engineering managers / QA, 18+, 6+ months professional AI coding tool use, ~6 min)