Частное развёртывание
Управляемые, VPC, локальные или изолированные варианты развёртывания.
Масштабируйте Codna на монорепозитории, регулируемые команды и частную инфраструктуру с управлением и поддержкой.
Управляемые, VPC, локальные или изолированные варианты развёртывания.
SSO, роли, места, рабочие пространства и политики уровня организации.
Ведите проверяемые журналы понимания репозитория, запусков агентов, PR и вызовов модели.
Поддержка развёртывания, планирование внедрения и персональный менеджер успеха для крупных команд.
Deployment options
Codna is a self-hosted AI coding assistant that runs wherever your code lives. Every tier is bring-your-own-key, so the agent calls your model provider directly and your code and credentials stay under your control. Pick the point on the privacy-versus-convenience curve that fits your risk model.
Fastest to start. Codna runs in our cloud and calls your model provider with your own key. It never trains on your code, prompts, patches, or repo maps. Best when you want autonomous fixes without standing up infrastructure.
Codna runs inside your own VPC, so repo maps and fix context stay in your cloud account. You keep data residency and network controls while we operate the software.
Run the full stack on your own infrastructure, on-premise or in your VPC. Your team owns the hosts, the keys, and the egress rules. Nothing routes through us.
On-premise, air-gapped AI coding with no internet dependency. Codna maps repos and verifies fixes entirely inside an isolated network, with fail-closed egress that blocks any outbound connection you have not explicitly allowed.
AI code governance
You do not have to hand the agent the keys on day one. Codna is built for staged, policy-driven adoption, so security and engineering can widen the blast radius only as trust is earned. Every fix is verified by your own test suite before a pull request is opened.
Start with the agent in observe mode. Codna maps your repos and surfaces what it would fix, with full audit logging on every repo map and model call. No code is changed.
Let the agent open pull requests, each backed by a small evidence bundle and a passing test. Your engineers review and merge, so a human stays in the loop on every change.
Once a class of fix has a track record, set policy to let Codna handle it automatically within defined limits. Roles, workspaces, and audit trails keep the scope visible and reversible.
Control and compliance
Codna is not a certification, it is a set of technical controls. Self-hosting, audit logs, access control, no-training, and bring-your-own-key are built to support your existing SOC 2, ISO 27001, and GDPR program, not to replace it. Here is what is real today.
Self-host in your VPC, on-premise, or fully air-gapped so code, dependency graphs, and fix context never leave your network. You decide where data lives and which egress is allowed, backed by fail-closed controls.
Every repo map, agent run, pull request, and model call is logged. Security can reconstruct exactly who triggered a fix and what the agent touched, with secret redaction applied to sensitive values.
SSO, roles, seats, workspaces, and organization-level policies. Per-tenant key isolation keeps each workspace's credentials separate from the next.
Does AI train on my code? Not here. Codna never trains on your code, prompts, patches, or repo maps. Bring your own key and Codna calls your provider directly, today on an Anthropic Claude key with more providers coming.
Yes. Codna is designed for self-hosting inside your own VPC or air-gapped environment. No code, no dependency graphs, and no fix context ever leave your network.
You bring your own key. Codna calls your chosen model provider directly, so credentials and generated output stay under your control.
Codna uses fail-closed egress controls. If an outbound connection is not explicitly permitted, it is blocked — not logged, blocked.
No. Codna does not use your code for training, full stop.
Codna supports SSO, audit logging, and governance controls so security and compliance teams can see exactly who triggered a fix and what the agent touched.
Codna ships as a CLI, an MCP server for Cursor and Claude, and a native GitHub App, so teams can adopt incrementally. Every fix is verified by your own test suite before a pull request is opened.