Continue Enterprise

Designed for Choice.
Flexible Governance.
In Your Environment.

An open architecture that fits enterprise infrastructure

Use Agent, Chat, Edit, and Autocomplete modes in your engineering workflows

Optimize performance by choosing which LLMs you use for each mode

Keep all usage and inference data in your environment and drive insightful analyses

Govern usage, credentials, and permissions for centrally configured custom AI code assistants

Centralize configurations or delegate with confidence using a flexible allow list

Use local, on-premise, or cloud-based LLMs and choose the best model for the task

Adapt assistants to your tech stack and internal docs

Keep your data within your environment while enabling AI code assistance

Track and report on usage and inference metrics in the tools of your preference