AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證Fast, safe and secure Continous Delivery pipelines you can setup in minutes.
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Simple Continuous Delivery for GitHub: Fast, safe and secure Continous Delivery
pipelines you can setup in minutes. Fully open source.檢視完整 README ↗Simple continuous delivery for GitHub: fast, safe and secure continuous delivery pipelines you can set up in minutes. Fully open source.
Deliverybot is a GitHub App. It creates GitHub deployments, and your existing CI (GitHub Actions or anything else that listens for deployment events) does the actual deploy. See the documentation to get started.
Deliverybot was abandoned around 2020. In 2026 I picked it up again to run it as a hosted service. I don't have the time to take on a project like this by myself, so most of the work, from modernizing the codebase to building the hosted version, was done with the help of AI coding tools. I decided what to build, reviewed the changes and tested them, but without AI this revival wouldn't have happened at all.
You need Node.js 22 (see .nvmrc), Yarn 1 and, optionally, Docker for a local
Postgres database.
Install the dependencies:
yarn install
Copy .env.example to .env and fill in the credentials of a GitHub App
you created for development. Set WEBHOOK_PROXY_URL to a
smee.io channel so webhooks reach your machine.
Start Postgres, or leave DATABASE_URL empty to keep data in memory:
docker compose up -d
Build everything once, then start the app in watch mode:
yarn build
yarn start
The dashboard runs on http://localhost:3000.
yarn build only rebuilds the packages that changed since the last build. Run
yarn clean first if you deleted or renamed a source file, so its old output
doesn't linger in lib/.
Run the tests with yarn test. The Postgres tests need DATABASE_URL to point
at a database.
The code is a Yarn workspace in packages/:
core: shared service interfaces, the GitHub App wiring and in-memory storage.app: the dashboard and the apps that handle GitHub webhooks.client: the dashboard's browser code and styles.deploybot: deployment automation, such as /deploy commands, auto deploys
and pull request environments.slackbot: the Slack integration.postgres: Postgres storage, migrations and the job queue.run: the server and worker entry points.Kubernetes manifests for the hosted service live in
deploy/kubernetes.
Bug reports and fixes are welcome. Please read the Contributing Guide before opening a pull request.
MIT © 2019 Deliverybot (https://github.com/deliverybot/deliverybot)