Antideploy es una plataforma de despliegue que analiza el código de la aplicación, determina el runtime y la infraestructura necesarios, los construye y sirve la aplicación mediante HTTPS. Permite desplegar desde GitHub, una carpeta local, una API o agentes de programación sin escribir un Dockerfile ni configuración YAML.
Antideploy reads an application’s source code, identifies its runtime and infrastructure requirements, builds it, and deploys it behind HTTPS. It replaces manual Dockerfile, YAML, and cloud-console setup with an analysis step that shows the files supporting its conclusions.
Developers can deploy from GitHub, a local folder, the API, or supported coding-agent workflows. The result includes a live URL, deployment history, logs, and health checks, with PostgreSQL, encrypted secrets, and S3-compatible storage available for supported application needs.
Antideploy detects the runtime, framework, build and start commands, port, database requirement, and environment variables read by the code. It displays the file evidence behind each conclusion and raises hazards before deployment.
A project can be connected from GitHub, uploaded as a folder or ZIP, pushed through the deployment API, or sent from a coding agent using the documented MCP workflow.
Buildpacks turn the repository into a container and release it behind HTTPS, so users do not need to create or maintain a Dockerfile.
Antideploy can provision PostgreSQL and run migrations before release, provide encrypted environment secrets, and create S3-compatible object storage for applications that already speak S3.
The console shows the live version, application address, and previous builds. Retained builds can be used to roll back to an image that was already built.
Users get build and runtime logs plus health checks that can email when an application changes state or goes down. GitHub deployments can run on every push or only when manually requested.
Connect a repository, review the detected configuration and warnings, then deploy. Subsequent pushes to the default branch can build and release automatically, making this suitable for straightforward continuous deployment.
Upload a project directory or ZIP when the code is not hosted on GitHub. Antideploy excludes common dependency and build directories during upload, and a later folder upload can ship a new version.
Claude Code, Cursor, Windsurf, or another supported MCP client can deploy a project, inspect the result, and respond to failures without requiring the developer to relay each step manually.
Static sites can be deployed without counting toward live-app or deployment limits, while server-backed applications receive a hosted runtime, HTTPS address, logs, and persistent PostgreSQL or object-storage options where applicable.
You can connect a GitHub repository, upload a folder or ZIP from the dashboard, push a project through the deployment API, or use a supported coding-agent workflow through MCP.
It identifies the runtime, framework, build and start commands, port, database requirement, and environment variables read by the application. The dashboard shows the file evidence and any detected hazards before the build begins.
It can provision PostgreSQL and run migrations before a release. It also provides S3-compatible object storage when the application already uses S3. Files written to the local application filesystem are ephemeral and should not be treated as persistent storage.
Yes. A connected application can deploy on every push to the default branch, or be set to wait until you explicitly request a deployment. Folder uploads and coding-agent deployments start only when initiated.
Antideploy runs one instance per application, does not offer horizontal scaling, and has no staging or preview environments. It provisions PostgreSQL rather than MySQL, MongoDB, or Redis, and sleeping applications may take longer to answer their first request after inactivity.
Los datos de tráfico son solo como referencia.
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