Are we onboarding-optimizing ourselves into worse coding tools?

[ethanmiller]

This ranking clocks nine AI coding ***istants on pure setup speed — Copilot wins at ~2 minutes, Tabnine trails at ~20. Yet the tools that take longest to set up (Claude Code, Aider) are the ones reviewers consistently call more capable once they're actually running.

• If most developers "install one, form an impression fast, and either keep going or move on" — as the article claims — are we systematically underrating tools that need a slower on-ramp, just because they lose people in the first ten minutes?
• Claude Code's extra setup time comes from indexing the repo before it suggests anything. Is that upfront investment actually saving you correction cycles later, or is it just moving the friction rather than removing it?

Tell us which tool you stuck with after the initial trial period, and whether it was the fastest one to set up. Full breakdown here:

[lisajohn]

Absolutely. A smooth onboarding experience can be useful, but it shouldn’t outweigh code quality, reliability, flexibility, or developer control. Sometimes the tool that takes longer to learn delivers much better results once you understand it. The real question is whether onboarding friction leads to long-term productivity gains.

[Russell]

I think setup speed can definitely influence first impressions, but it doesn’t tell the whole story. I’d rather spend a few extra minutes getting a tool properly configured if it saves me from fixing bad suggestions later. For me, long-term accuracy, workflow fit, and fewer corrections matter much more than a quick installation.

[SwatiSood]

Setup speed definitely influences first impressions, but it shouldn’t be the main measure of a coding ***istant. A slower setup can be worthwhile if it leads to better context, fewer corrections, and stronger results over time.