AGILE

Passare dal prompt engineering al project engineering: perché BMAD cambia il modo di lavorare con l’AI

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Quando usi un coding agent, la tentazione più naturale è partire dal risultato. “Costruiscimi un’applicazione che faccia questo.“ Descrivi la funzionalità, magari indichi linguaggio e framework preferiti, lasci che l’AI cominci a lavorare. Dopo poco compaiono la struttura del progetto, il database, alcune API, l’interfaccia, forse anche una prima serie di test. Il risultato può … Read more

No PM. No Jira hell. No role-play “AI teams”: I am building an AI dev crew that actually ships code.

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While building OtterForm, I had one of those moments where AI felt like a superpower and a limitation at the same time. At the beginning it is incredible with features that moved fast, boilerplate disappeared, and it genuinely felt like we had added another developer to the team. But as OtterForm grew into a real … Read more

I Didn’t “Use AI” to Build OtterForm. I Built a Team.

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For a while, my workflow with AI looked like everyone else’s. Ask for a feature. Get an answer. Refine it. Ship it. Fix what breaks. Repeat. It’s the classic loop, it’s called the ralph-loop: one plugin, one model, one thread, one endless iteration. And to be fair, it’s great when the task is small and … Read more