Code governance for AI-assisted teams. We prove what got reviewed, not just that someone clicked approve. Verifiable evidence bundles you can check yourself.
Your docs claim the code does X. Does it still?
rlm-docsync extracts every claim from your docs, checks the source for evidence, and produces a tamper-evident pack showing which claims hold and which drifted. Docs stop being fiction.
https://t.co/2nWtxZtSjY
AI agents with real tool access need governance that scales with risk.
A plugin gates every tool call by blast radius, L0 to L4. Greetings flow free. rm -rf needs a multi-model vote. Credential changes need a human. Each gate leaves an evidence pack.
https://t.co/FUCJeuccUC
Trust shouldn't depend on a single vendor.
So the evidence bundle format is an open spec. Vendor neutral, Apache 2.0, verifiable offline by any party. If we disappear, your evidence still holds up.
https://t.co/4mAAbhvmsy
Most "governance" asks you to trust the vendor's dashboard.
Ours doesn't. guardspine-verify recomputes every hash from scratch, offline, no network, no trust assumptions. If anything was tampered with, it fails.
pip install guardspine-verify
https://t.co/Jc6Y1uf5zj
Shipped a GitHub Action that turns a PR approval into evidence.
It captures the exact diff the reviewer saw, the risk tier at approval time, and a hash chain proving nothing changed after. One workflow file. Any AI provider, or rules-only.
https://t.co/xZop8llEGh
GitHub shows THAT someone clicked approve.
It doesn't show WHAT they reviewed.
When an auditor asks how a payment-logic change got approved, a green checkmark isn't an answer.
GuardSpine is code governance that produces the answer. #Buildingintheopen.