Refactor faster with policy-aware AI workflows
RefactorAI helps teams ship cleaner code faster with auditable, policy-aware refactors. Bring your own model key or run a private local model while maintaining full control over governance and delivery standards.
pip install refactorai-cli
Built for high-velocity teams with real governance requirements
Accelerate delivery with model flexibility, policy enforcement, and enterprise-ready controls across your refactor workflow.
Policy-aware refactoring
Define team rules once and enforce them on every run so refactors align with architecture, quality, and release requirements.
Protected runtime
The core engine ships as a signed, compiled binary delivered on demand — secure, verifiable, and frictionless for engineering teams.
Your model, your choice
Use your own provider API key, or run a license-clean local model in an isolated Podman container — no GPU required.
Developer workflow ready
A thin CLI that fits your existing developer loop with fast setup, repeatable runs, and integration-friendly outputs.
Governance & approvals
Manage licensing, policy, and model access from one control plane with auditability for platform and security teams.
Fast & resumable setup
A staged, checkpointed onboarding flow you can pause and resume — so a flaky network never costs you a restart.
Adopt AI refactoring across teams without losing control
Built for engineering organizations that need speed, consistency, and policy compliance at the same time.
Platform engineering
Standardize refactor quality with reusable policies, role controls, and team-wide rollout workflows.
Application teams
Modernize legacy modules faster with AI assistance while keeping review quality and code ownership intact.
Regulated environments
Operate with audit logs, privacy-first architecture, and governance controls suited for enterprise requirements.
From install to refactoring in three steps
No infrastructure to provision. No code to upload.
Install the CLI
Grab it from PyPI with pip install refactorai-cli.
It's lightweight and contains no proprietary logic.
Run setup
refactor setup downloads the signed runtime and asks
whether to use your own key or install a local model.
Start refactoring
refactor init in your repo and you're working —
with policy-aware suggestions and auditable outputs in your
existing development flow.
Enterprise security your auditors will sign off on
Architected for regulated industries. Privacy guarantees are enforced by design, not by policy promises.
Data residency by default
Source code and embeddings stay on-device — there is no cloud copy to leak, subpoena, or breach.
Tamper-evident audit log
Every policy decision and runtime download is recorded with signed, append-only audit trails for compliance review.
Role-based access control
Granular admin and developer roles, SSO-ready, with per-policy enforcement managed from the control plane.
Privacy by architecture, not by promise.
Most AI coding tools ship your source to a server. RefactorAI flips that model: the heavy lifting happens on your machine, and only license and policy checks talk to the cloud.
Try it now- Source code and index never leave your device
- Metadata-only telemetry, fully auditable
- Cryptographically signed policy bundles
- Isolated, dependency-free containerized inference
Ship better refactors with speed, control, and confidence
Start with quickstart and run your first policy-aware refactor in minutes.