Stravica
Stravica is where I work out how to build software with AI, and where what gets built lives. RCF, the methodology. The Digital Operator that practises it. Plus the writing that explains both.
Methodology
The Requirements Confidence Framework. A working method for closing the gap between “the AI built something” and “the AI built what you asked for.” Requirements at the apex, acceptance criteria as the contract, traceability built into the data model. The full methodology, end to end, and the lineage that landed it.
Practice
A digital counterpart to a human operator role. It does the work, records how I would have done it while doing it, and feeds what it learned into a shared library the rest of my Operators draw from. Two running today. The first one built this site.
My digital operator runs across a dozen surfaces and has to remember what it learns. Not in a chat log, not in a vector blob. Here is the library I built for it, and where I stole the shape from.
Sebastian Beaton scraped nineteen methodology pages off this site and turned them into working tooling for his business, without me over his shoulder. Here is what held, what he bent on purpose, and the gap he found that I left open on purpose.
RCF's traceability chain was complete on the spec side and stopped dead at the code. Here is the design call I made to carry it across, and the two-graph approach I turned down to get there.
Stravica is a body of work in public. The bar is software that holds up under real use, not software that looks good in a demo.