Refact.ai is self-hostable and that is the only reason we were allowed to use AI coding assistance at all

I work at a company in a sector where sending code to external AI servers is not permitted. Legal, compliance, IP protection, the reasons are layered and non-negotiable. For a long time that meant my team simply could not use AI coding assistance while teams at other companies were getting significantly more productive with it.

Refact.ai's self-hosting capability is what changed that. You run the models on your own infrastructure. Code does not leave your environment at any point. The AI assistance runs locally and the compliance team was satisfied because there is no data leaving the building.

The Fine-Tuning capability on top of that is the thing that made it genuinely useful rather than just permitted. You can train the model on your own codebase so suggestions are calibrated to your specific patterns, your naming conventions, your architectural decisions, your internal libraries. The output is more relevant than a generic model because it has learned from what your team actually produces.

The Multi-Model Support lets you choose which underlying model to run based on your hardware capability and performance requirements. For teams with different server configurations that flexibility matters practically.

The Advanced Refactoring that identifies code smells and suggests more efficient implementations is useful for a codebase that has accumulated technical debt over years, which describes most mature codebases.