A deploy dashboard with live logs, built by Claude Code on Elements

A deploy dashboard with live logs, built by Claude Code on Elements

Deploy pipelines with streaming logs, production rollbacks, live service health, and charts of deploys per day, build time, success rate and time to recovery.

How it's built

Rolloutly needed deploy pipelines that stream their logs, production rollbacks, service health that refreshes itself, charts of a month of deploys and roles for the team. Each of those is a part of Elements, so the agent spent its 29 minutes on the dashboard itself.

  • Streaming deploys. A deploy is a job that walks each stage and sends every log line, stage change and final status on a channel. The deploy page prints the log as it runs, and the overview, service and activity pages pick up each status change.
  • Live service health. A one-line cron schedule runs a health job every minute that takes a reading every ten seconds and pushes it to every open screen on a second channel. A release that failed its health check stays degraded until a new deploy or a rollback replaces it.
  • Rollbacks. Rolling back checks that the chosen release ran in production and that nothing else is deploying, then sends it through the same pipeline as a deploy.
  • Charts from the data. The insights page computes deploys per day, build time, success rate and time to recovery in SQL and draws them as SVG, and refreshes when a deploy finishes.
  • Server calls as function calls. Starting a deploy, rolling back and managing the team call server functions straight from the page with @rpc.
  • Data and roles from SQL. Migrations define the platform and seed one admin, three engineers, twelve services and thirty days of deploy history with failures and rollbacks. Sessions and roles give admins the team page.

Why Elements

Elements is an integrated full-stack app framework and a project server. The project server checks the agent's work as it builds: it type-checks the server and browser code, analyzes the program, applies migrations and runs the tests, then reports the results to the agent. A security mistake, such as calling a server-only function from the browser, is a compile error. The agent reads the report and fixes its own mistakes before it tells you a feature is done. The same checks run on every feature you ask for next.

Run it yourself

  1. 1 Sign up

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  2. 2 Install and run the demo One prompt to paste into your agent.

View the code on GitHub →

The prompt

What Claude was given to build this app.

Agent Prompt
Build a deploy dashboard named rolloutly for a platform team running a dozen
services.

Accounts: admin and engineer.

- Services, each with environments (staging, production), the release running
  in each, and its health.
- Deploy: pick a service, environment and commit. A background job runs the
  pipeline stages (build, test, migrate, release, health check), each taking
  a few seconds, with log lines streaming as it goes. Some deploys fail at a
  random stage so the dashboard has failures to show.
- Deploy detail: stages with durations and the full log.
- Roll back production to any earlier release, with a confirm step.
- Charts, drawn in SVG: deploys per day, build duration over time, success
  rate, and mean time to recovery after a failed production deploy.
- An activity feed of every deploy and rollback across all services.

Seed one admin, three engineers, twelve services, and thirty days of deploy
history with some failures and rollbacks. Show the seeded logins on the sign-in
page.

Running deploys, log lines, health and charts update in real time on every
open screen.