[srinath693]

This resonates a lot. I’ve found that staying slightly behind the bleeding edge with AI tools actually leads to more consistent productivity. The early-stage tools often look impressive in demos but add cognitive overhead and unpredictability in real workflows.

Waiting until patterns stabilize, better UX, clearer failure modes, and community best practices, tends to give a much better long-term payoff.