Currently in pilot with enterprise teams
From business intent to production.
In the systems your business runs on.
Nothing reaches production without being explained, approved and owned.
Nothing reaches production without being explained, approved and owned.
The cost of changing enterprise software was never typing the code. It is knowing what to change, where, and what breaks. Most AI tools generate first and try to recover context after. Rubbr does the opposite.
Understanding must come before generation. Not after.
A product owner makes a request. Here is how Rubbr turns it into approved, governed implementation.
Page the right on-call person within 3 minutes of a real Sev-1. We keep missing incidents under false-positive storms.
Which signals count as independent, and what service, region and runbook must travel with the incident once it fires?
Rubbr maps the services, adapters and external dependencies the change touches.
PRD, ADR and test artifacts are generated as reviewable inputs before implementation starts.
Rubbr proposes the exact file changes and waits for human approval before a line of code is generated.
Rubbr generates file by file, shows progress live, and keeps humans in control of the next gate.
Who created, who approved, when agents ran: the audit trail stays attached to the change.
Every change Rubbr ships feeds the living model of your application: the business rules, the dependencies, the decisions and the reasons behind them. The more you deliver, the more your system knows about itself. And that knowledge answers to everyone.
Product owners, product managers and domain experts get engineering-level answers in seconds: which components are affected, why a rule exists, what breaks if something changes. No ticket, no waiting, no pulling an engineer out of deep work.
Rubbr does not replace your engineering organisation. It reallocates it. Software delivery becomes a multi-stakeholder activity, inside guardrails your engineering leaders define.
Request, validate and ship change through structured intent, without navigating the codebase or queueing behind a sprint.
Validate decisions before implementation. Catch drift before it becomes debt.
Change classes, blast radius, approval gates. Every agent supervised, every change traceable, every action auditable.
Impacts, constraints and dependencies are visible before a change is requested. Better decisions, fewer surprises.
Architecture, performance, security, complex integrations. Not translating intent, and not rediscovering how the system works for the hundredth time.
Rubbr creates the software memory. Every stakeholder operates on it.
Nobody can tell me what breaks if we touch it.
Only two engineers understand that module. One just resigned.
The auditor asked who approved the changes made by AI. We didn't have a good answer.
Rubbr is not for teams chasing speed without governance. It is for organisations where every change carries consequences.
A 30-minute walkthrough on a real system. Free your engineers and empower your product owners.