AI coding with guardrails.
vRails is the AI software-delivery platform we built our own products with, now available to other teams. Your developers work with AI coding agents at full speed, and every change still meets your standards for security, testing, architecture, documentation and audit.
At a glance
- What: an AI-SDLC platform. Guardrails on AI-written code, your rules served to the agents, and a record of every change from ticket to release.
- For: engineering teams from startups to the Fortune 500.
- Two ways in: licensed on its own, or set up and run with Ardent's technology consulting.
- Proven: every change to WealthWizard goes through vRails.
AI writes code faster than anyone can review it
AI coding agents are fast and tireless. They also skip the tests, forget the security rule, drift from the architecture and leave the documentation behind, quietly and at volume. Review alone does not scale with them.
Speed without standards
An agent will happily ship a change that passes its own tests and breaks your conventions. Nobody notices until production does.
Rules nobody reads
Policies live in wikis the agent has never seen. Each session starts from zero and relearns your system by trial and error.
No evidence
When an auditor or a customer asks what changed, who approved it and whether it was tested, the answer is a guess.
The rails go where the code goes
vRails sits in the developer's own workflow: in the AI agent's session, in every commit, and in the release pipeline. Nothing depends on someone remembering to check.
Agents know your rules
Knowledge servers give AI agents your written policies, your architecture, your past debugging sessions, your infrastructure and your codebase, before they write a line.
Every commit passes the gates
Security, test quality, architecture, documentation and data rules run on every commit. A failing gate stops the commit and says exactly what to fix.
People approve what matters
Configuration changes, deletions and database changes need a named person's approval. The gates cannot be skipped from the command line.
You can see the impact
A release train follows each change from ticket to production, with bounce-backs and flow measures, test management, bug capture and an audit trail.
Built, running and used on our own code
The same rails at every size
Startups
Guardrails from the first commit, without hiring a platform team. Ship with AI agents and keep the codebase you will need when you grow.
Growing teams
New developers and new agents learn your rules on day one. Standards stay the same when the team doubles.
Enterprises
Approvals, role-based access that denies by default, policies by family and an audit trail for every change: the evidence regulators and customers ask for.
On its own, or with us
The product
License vRails and run it with your own team. You get the platform, the gates, the policy library and the agent knowledge servers.
With Ardent consulting
Our technology consulting team sets it up, writes your policies with you, tunes the gates to your codebase and trains your developers to work with AI agents inside them.
WealthWizard, Ardent Wealth Management's trading platform, is built under vRails. Every commit to it passes the same gates.
See vRails on your codebase
Tell us about your team, your stack and where AI coding is today. We will show you what the rails would catch.