Esta página te lleva de la instalación a tu primer fix verificado. La documentación completa (en inglés) — comandos de la CLI, el servidor MCP, la GitHub Action, configuración y conceptos clave — vive en docs.codna.ai.
Añade Codna a Cursor o Claude en una línea. Tu agente puede pedir a Codna mapas de símbolos, dependencias, impacto en tests y paquetes de evidencia enfocados.
codna mcp start --repo .
GitHub App nativa
Instala la GitHub App para que Codna haga triage de issues, comente con evidencia de causa raíz y abra pull requests de corrección.
¿Codna entrena con mi código? No. Codna está diseñado para no entrenar con código de clientes.
¿Puedo auto-hospedarlo? Sí. El auto-hospedaje está disponible para siempre, con opciones on-prem y air-gapped con soporte para Enterprise.
Frequently asked
Install with a single command from your terminal. The codna cli runs locally, so you bring your own API key and your code never leaves your machine unless you choose otherwise.
The MCP server for coding integrates natively with Cursor and Claude. Add it to your editor's MCP config and Codna's graph engine becomes available to your AI assistant without any extra steps.
The GitHub App monitors your repository and opens pull requests with verified fixes automatically. Every fix is validated by your own test suite before the PR is created.
No. Codna is self-hostable, and egress is fail-closed by default. You supply your own API key, and the system is designed so your code is never used for model training.
The deterministic graph engine maps the relevant code first, producing an evidence bundle measured at around 600 tokens. Head-to-head against Cursor, Codna used 5× fewer tokens and ran 1.7× faster, every fix test-verified (100%).
Codna supports 250+ languages, and has mapped 130 repositories in 9.2 seconds for zero LLM tokens. If your project compiles or resolves dependencies, Codna can graph it.