Ship with AI.
Run with SiteCMD.
AI gets you to the first deploy fast. SiteCMD gives you the operating layer after that: what changed, what broke, what still needs attention, and what to fix next in one local workspace.
AI misses operational context.
Release-ready security
AI can ship a feature without the headers, cookies, SSL posture, or dependency hygiene you need to ship it safely.
Real-world quality
Accessibility, search visibility, and overall polish often get skipped because the app “works” before it is actually ready.
What changed after deploy
The hard part is often after launch: new regressions, dependency drift, traffic drops, and “something feels broken” without a clear source of truth.
One workflow after the first deploy.
See the current state
Dashboard tells you how the site is doing right now and which signals deserve attention first.
Fix from one queue
Issues keeps the actionable work in one place so you are not guessing whether the problem belongs to a scanner, repo, or dashboard tab.
Verify what changed
History, rescans, and connected signals help you confirm whether the fix held and whether a new deploy introduced drift somewhere else.
Built-in checks when you need exact truth.
Web Scan
Live-site truth
Web Scan checks the real site for security, search, accessibility, performance, compliance, and polish issues.
Code Scan
Linked-code truth
Code Scan audits the linked project for dependency risk, security gaps, AI-generated anti-patterns, and release blockers before they hit production.