Sourcegraph Cody

Sourcegraph Cody is presented as an enterprise AI coding assistant designed to work across large and complex repositories where context quality is the main limiter. The product page highlights integration with common code hosts and major editors, and it frames Cody as more than autocomplete by focusing on consistent outcomes across teams. Cody emphasizes enterprise-grade security controls, including full data isolation, zero retention, no model training, detailed audit logs, and controlled access, which are key requirements for regulated environments and large organizations. It also claims access to multiple latest-generation LLM options that do not retain your data or train on your code, which matters for IP and confidentiality posture. Cody is positioned alongside the broader Sourcegraph platform for code understanding, suggesting it benefits from code search and code graph context rather than only per-file prompts. The Cody page also notes there are changes to Cody Free, Cody Pro, and an Enterprise Starter plan, so pricing and packaging can shift and should be checked directly before rollout. Cody fits best for engineering orgs that need consistent code assistance, centralized policy controls, and integrations across repositories, and it is most effective when combined with prompt governance, review standards, and measurable adoption metrics.