Step 1 of 6
Connect your repo
Link GitHub and pick the branch to deploy.
For the complete documentation index, see llms.txt.
Deploy workspace, rebuilt for clarity
Pick a repo, scan, preview, deploy, recover with AI if needed, and ship with confidence.
Full Product Flow
One sticky workspace walks you through the full journey: connect your repo, scan and preview, catch failures, watch AI fix them, and ship to production with confidence.
Step 1 of 6
Link GitHub and pick the branch to deploy.
Deployment flow
Step 1 / 6
Workspace
api@smart-deploy
main
AWS / EC2
Project source
api@smart-deploy
https://github.com/aniru/smart-deploy
Deployment branch
EC2 instance
t3.small
$0.0208/hr (on-demand)
Custom domain
Environment variables
3 Secret Keys
EditStory timeline
Why SmartDeploy
It feels as easy as modern PaaS platforms, but keeps decisions visible so teams can trust what ships.
Every artifact and decision stays visible: scan output, blueprint stages, logs, and history.
No hidden pipeline steps or black-box deploy magic.
Start from repo, scan, review, deploy in one guided workspace without tool-hopping.
Setup, scan, preview, logs, and controls in a single flow.
AI does more than chat. It explains failures and helps regenerate safer deploy artifacts.
Root-cause analysis + Improve Scan Results chain.
Cloud Targets
Deploy on AWS and GCP from one clean workflow.
Public Metrics
Deployment count, success rate, and latency distributions are surfaced directly on the landing page.
Public deployment stats
May 11, 2026, 9:06 PM UTC
Deployments
82
Success
85%
Median
3m 38s
P95
9m 4s
Ready to deploy with visibility?
Smart Deploy gives you fast shipping, inspectable artifacts, and AI-guided recovery in one workflow.