Divinely Discontent
Have you experienced a divinely discontent moment recently with AI?
This last weekend, I tried the Agent mode from Augment to create a fully functional web app prototype. It worked beautifully. It recognized the language and frameworks I already had in my repo. Setup the new project, created both frontend UI and backend integration, configured deployment with my choice of service, and self-corrected when it encountered runtime errors. No debugging required. Brilliant!
And then, I wanted to make tweaks to the app it had produced. Turns out that Agent mode is too slow for these tweaks and I preferred using Chat mode to assist with edits (since Agent mode is still in beta, my guess is that infra optimizations to improve its latency will follow). I switched to Chat mode, but Memories with additional context was in the Agent mode window, not Chat mode. Ugh! For a split second, I reasoned, “why can’t it automatically switch between modes depending on my intent? Another version of model picker story”.
A classic “divinely discontent” moment!
In his 2017 shareholder letter, Jeff Bezos recognized, “One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up. It's human nature.”
I see it everywhere these days with AI progress. It’s easy to blame AI when it doesn't work or doesn’t meet your expectations. But it's important to recognize when your expectations have evolved.
