The last few weeks of AIFactory work were not about new features you click. They were about the build itself getting cheaper to run, faster to start, better at remembering what it already learned, and safer to let loose on a repo. Four changes, each small on its own, add up to a build node you can actually afford to run at scale.
This week I did something uncomfortable: I stopped shipping features and reviewed AIFactory honestly — against its own goals, and against the 2026 field of autonomous coding tools. Not the demo-day version. The version you'd give an investor who's going to check.
The short verdict: the pipeline works, end to end, and on the axis that actually matters in 2026 — governance and verification — it's ahead of the pack. But we had published zero numbers. We built the part of the problem that doesn't commoditize and then never measured it. This post is what we found and what we're doing about it.
A friend who works at a bank told me their security team had just banned every cloud AI coding tool. Not because they're luddites — these are sharp engineers who'd love the productivity. They banned them because they can't send proprietary source code to a third party, and they can't explain to an auditor where a given line of code came from. They wanted AI's help. They weren't allowed to have it.
I kept hearing versions of this. The more I looked, the more I realized it isn't a niche complaint — it's the unspoken default for a huge slice of the industry. So I built something for it, open -sourced it, and this post is about why.