One-click repository deployment
Connect a GitHub repo, choose a branch and runtime, and let AutoDeploy build and publish it without hand-managed server steps.
AutoDeploy
Developer-first deployment orchestration
AutoDeploy is a full-stack deployment solution that turns a GitHub repository into a managed application workflow. It centralizes repo onboarding, deployment execution, live status tracking, and service control in one dashboard.
Overview
This is not just a UI mockup. It demonstrates product thinking, deployment workflow design, authentication, and operational observability in one system.
Live pipeline feedback
Recent jobs, running states, logs, and deployment results stay visible.
From repo to URL
The product story is clear: source code in, deployed service out.
Core capabilities
The landing page explains the product in plain language so a recruiter, teammate, or interviewer can understand the system quickly.
Connect a GitHub repo, choose a branch and runtime, and let AutoDeploy build and publish it without hand-managed server steps.
Track running jobs, recent history, live status, and deployment results from a single control surface instead of scattered tools.
Handle deployment triggers, topology awareness, and service lifecycle actions from the same product experience.
GitHub sign-in via Supabase keeps the orchestration layer private while still giving the project a public-facing product story.
System narrative
The product now works as a guided path from authentication to deployment operations, which makes the whole system easier to present.
Sign in with GitHub and register a repository.
Authentication gates access to the private control plane while keeping the project presentation public.
Configure branch, build pack, and deployment settings.
Deployment setup makes it clear the app supports configurable runtime behavior rather than a static demo path.
Trigger a deployment and watch the pipeline update live.
Operational visibility is part of the product experience, not just backend plumbing.
Open the deployed URL, inspect logs, or stop the service from the dashboard.
The loop closes with live URLs, logs, topology context, and direct lifecycle controls.
Interview talking points
It has a clear public-facing explanation of the problem space.
It shows the practical value of the system before asking the user to sign in.
It gives you a stronger narrative for your CV, portfolio, and demos.
Highlights
Public root landing page on auto-deploy.tech
Protected dashboard after GitHub authentication
Single-product story from repository intake to live deployment