
Risorse Artificiali è il podcast italiano di AI Engineering. Ogni settimana, tre ingegneri con 20+ anni di codice alle spalle fanno deep dive tecnici su agent, LLM, tool chain e produzione: Claude Code, Codex, agenti e modelli open source, inference, spec-driven development, e tutto ciò che serve per portare l'AI dal demo al deploy. Niente hype, niente "l'AI cambierà tutto": solo analisi oneste, c... more
| Publishes | Twice weekly | Episodes | 72 | Founded | a year ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Category | Technology |

AI Engineering in italiano: Fable e i workflow ad agenti scrivono codice da soli. Stefano lancia 40 agenti in parallelo e in una notte porta a casa un task multilinguaggio (Rust, Python, shell) zero-shot. Se scrivere codice diventa una commodity, cos... more
Context engineering per AI agents: il contesto degli agenti non si riempie per colpa degli MCP server. Roberto Stagi, Ratel AI, spiega perché il problema è un altro.
Ogni settimana qualcuno scrive che Claude Code è inusabile con i suoi MCP server, i... more
Workflow dinamici in Claude Code: con Opus 4.8 l'AI si scrive da sola gli harness dei suoi agenti.
Partiamo da Opus 4.8 e dal gap che ancora lo separa da GPT 5.5, per arrivare ai workflow dinamici: non quelli statici di LangChain o LangGraph, ma age... more
LLM coltivati, non costruiti: l'enciclica di Leone XIV e una puntata di AI Engineering molto concreta.
Stefano, Paolo e Alessio partono dalla definizione di LLM più lucida letta da anni, che arriva (a sorpresa) dal Vaticano, e finiscono nella macroe... more
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this podcast launched a year ago and published 72 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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