AI answers should show a little of the learning process

I mentor newcomers in an open-source project, and I think forums need to distinguish answer delivery from actual learning when AI coding assistants are involved. A polished code block may solve the immediate problem, but AI-generated code can also be plausible and wrong. It is hard for the next reader to learn anything if the reasoning is invisible.

I’d like to see a lightweight norm: every AI-assisted solution should include one failed approach, a reproducible test, or a brief explanation of why the fix works. Not a dissertation—just enough evidence that someone engaged with the result rather than pasted it.

I worry this adds friction for urgent support requests and may discourage beginners who already feel they lack the “right” question. Would this improve peer learning, or simply make forums less accessible? I’d like concrete examples and counterarguments.

I support the direction, but I’d be careful about claiming the norm itself improves learning. The research supports active engagement and debugging as worthwhile areas, not this exact forum rule. A useful compromise might be to request one of the three items, while allowing responders to help fill gaps rather than closing the question.

The reproducible test is the strongest option for me. “Why it works” can turn into confident storytelling, while a minimal failing case exposes assumptions and regressions. I’d make it a strong request, not a gate. Blocking an outage question because the poster skipped the ritual would be counterproductive.

The accessibility concern is real. Beginners often do not know what counts as a failed approach or a reproducible test, and a requirement can read like a membership exam. Perhaps experienced helpers should model the norm in their answers first. That teaches the format without demanding fluency upfront.

I’d add that a passing test is not proof of safety or maintainability. For security-sensitive fixes, the short explanation should include the relevant assumption or threat boundary. Otherwise an AI-generated patch can look verified while quietly widening the attack surface.

I’m less convinced this belongs in every thread. Some questions are genuinely transactional, and forcing explanation onto every answer could push useful knowledge into private chats or discourage fast replies. Maybe tag-based expectations are better: learning-oriented threads ask for reasoning, incident threads prioritize restoration.