The Xbox wrote 8 GiB of persistent data. I still couldn't call the experiment successful. The bytes were there, but the operation failed because a completely different part of the system had timed out. In another test, the worker correctly refused ...

XCP — Chapter 5 In the previous chapters, I wrote about turning an Xbox Series X into a programmable execution target, building a virtual machine inside its sandbox, connecting AI coding agents to real hardware, and measuring the memory and GPU capab...

Generating code is no longer the part that interests me most. The harder problem starts one step later: Who gets to decide that the generated software is actually correct? I have been working on an open-source project called Derivative, and its so...

In the first two posts I wrote about the larger XCP idea: turning an Xbox Series X in Developer Mode into a programmable execution target, and keeping AI-assisted software inside a continuous build → execute → observe → correct loop. But most of tha...

At 16:50, a photograph is supposed to happen in a small harbor plaza. The photographer is there. The couple is there. The flowers arrive at 16:30, the arrangement is ready at 16:40, and everything happens as planned. Then I close a bridge at 16:15....

I wanted AI to work directly with a real Xbox. Not just generate code on a PC. I wanted the same software project to be created or adapted, sent to Xbox, executed there, observed, corrected, and then evolved again. That system became XCP. And now...

XCP turns one-shot code generation into a continuous software lifecycle: create, execute on Xbox, observe, correct, evolve, repeat. AI agents are getting very good at producing software. What interested me was what happens after the code exists. A...

Most RAG demos stop at the answer.Alchimistahttps://github.com/Daniele-Cangi/Alchimista You upload a document, ask a question, get a plausible response, maybe see a few source chunks, and that's where the story ends. But I kept coming back to a dif...