Rubbr delivers features from business intent to production code inside the legacy systems your organisation depends on
Nothing changes without being explained, reviewed, and owned.
This fragility created bottlenecks on key individuals. Now we are introducing AI coding agents into that environment, and we’re surprised that the result is chaos.
Introducing Rubbr, a controlled AI-driven software delivery platform for legacy systems
Before AI agents touch your systems, every constraint, business rule, and architectural decision must already exist as structured, persistent Context File System.
AI agents plan, write, and deliver software changes automatically, but only within the boundaries your system knowledge defines. They propose before they act.
Every action has an audit trail. Risk is assessed before execution. Humans approve at defined checkpoints. You can always answer: what changed, who approved it, and why.
under pressure to modernise legacy systems with constrained headcount and no room for error.
where losing one engineer means losing the knowledge to maintain the system.
where every change to production must be explainable, auditable, and owned.
Rubbr is not for teams chasing developer speed without governance. It is for organisations where every change carries consequences.
Rubbr gives your organisation a way to adopt AI safely: with full visibility, human accountability, and a permanent record of every decision.
If your systems cannot explain themselves, they cannot be trusted.
