@evilmartians.com / Vladimir, just got your “Layered Design for RoR Applications 2nd edition” book; can you recommend any non-trivial, open-sourced apps that employ patterns of the book for in-depth, hands-on studying? Wrote a bit about my learning approach here: fritzgrabo.com/posts/how-i-...
Spannend auch, unterschiedliche Quellen zu einem Thema zu kombinieren und dieses Konvolut dann im Chat nach Zusammenhängen, Beispielen, Ungereimtheiten zu befragen. Hab ich grad mit Fachbüchern und Programm-Quelltext probiert: das lieferte interessante Einblicke, die ich sonst wohl übersehen hätte.
Wrote a bit about how I use Claude Code to catch up on the latest Ruby on Rails goodness by connecting @intertwingly.net's excellent, comprehensive book with Basecamp's idiomatic Fizzy codebase for personalized, interactive learning: fritzgrabo.com/posts/how-i-...
It depends on the nature of the problem space, imho. Investing in fundamental tools like bash, make, docker, etc. will pay off throughout your career. Happily skipped webpack, though 😅
I‘m sorry to hear it; hope you can give everything (including yourself!) the time it needs and deserves. 🐦⬛
Same experience here, really loved the simplicity for a prototype I built. Make sure to check out what they do around metrics: you can have them scrape custom metrics from your app, then build dashboards for them in a fully set-up Grafana that comes with it. Packs a lot!
soverin.com might be an option, too. It’s not quite as cheap as purelymail, but still affordable and packs a lot imho.
I was entirely sold on the Ian MacKaye intro quote already, but really this offers a well-argued, holistic view of how and where gen AI fits into the wonderful, messy feedback systems that are human (dev) teams. It shows what we lose when we optimize for "artifact output" only.
