PrevHQ vs. Localhost

Why "It works on my machine" is no longer good enough in the age of AI.

Feature Localhost PrevHQ Cloud
Shareability Requires screen sharing / ngrok Instant public/private URL
Environment Match Often differs from Prod Identical to Production
AI Verification Manual pull & run Automatic on every push
Mobile Testing Difficult / Simulators only Test on real device instantly
Collaboration Async is impossible Async comments & review

The Problem with Localhost for AI Code

When an AI agent (like Jules or Copilot) writes code, it often introduces subtle environment-specific bugs. If you only test on localhost, you might miss issues that only appear in a containerized Linux environment (case sensitivity in file names, missing system dependencies, etc.).

Shareable Context

"Hey, can you look at this?"

Localhost: You have to commit, push, ask your colleague to pull, install dependencies, and run the server.

PrevHQ: You send them a link: https://feature-chat-ui.onprev.com. They open it on their phone, tablet, or laptop instantly.

Zero-Config Environments

PrevHQ spins up a fresh environment for every branch. This means no "drift" from previous installs. If your `package.json` is missing a dependency, your PrevHQ build will fail, alerting you before you merge. Localhost often masks these errors because you have the dependency installed globally or from a previous project.