automazeio

automazeio / proof

Public

Visual proof of work for automated code changes

automaze.io
18
0
100% credibility
Found Mar 17, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Proof records terminal commands and browser tests as animated replays, videos, and shareable reports to visually prove that tests pass.

How It Works

1
🔍 Discover Proof

You learn about Proof, a handy tool that turns your test runs into shareable videos proving everything works perfectly.

2
📥 Install quickly

Follow a simple one-line instruction to add Proof to your computer in seconds.

3
📝 Name your project

Tell Proof the name of your app and where to save the recordings.

4
Pick recording style
💻
Command recording

Record the live output as your commands run step by step.

🌐
Web recording

Capture clicks and actions as videos in the browser.

5
✨ See tests come alive

Proof magically creates playable animations and videos showing your tests succeeding just like you saw them.

6
📊 Create a summary

Generate a clean report that lists all recordings with easy links to play them.

🎉 Share the evidence

Send the report to your team or attach it anywhere – now everyone can watch your tests pass confidently!

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Star Growth

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AI-Generated Review

What is proof?

Proof captures visual evidence of your tests and commands running—terminal output as animated, self-contained HTML replays; Playwright browser sessions as videos; iOS Simulator or Android emulator screens with automatic tap overlays. Built in TypeScript with thin SDKs for Python and Go, plus a standalone CLI, it generates structured reports and manifests you can attach to PRs or share as proof of concept that changes work. Ditch text logs: get 10-second videos proving tests pass, timed exactly like they ran.

Why is it gaining traction?

It beats screenshots or raw videos by producing offline-playable artifacts with speed controls, seek bars, and precise overlays—no deps needed to view. Multi-device browser captures (e.g., iPhone viewport arrays) and simulator modes handle real mobile UI tests out of the box, while agent skills boost AI coding pass rates from 28% to 100%. Installs via curl, npm, or brew; JSON stdin/stdout fits any pipeline.

Who should use this?

CI/CD engineers attaching test proof to GitHub PRs; mobile devs running XCUITest or Espresso who need tap visualization; AI agent users (Claude, Cursor) verifying automated fixes. Ideal for teams shipping proof of concept prototypes or debugging visual flows without stakeholder confusion.

Verdict

Grab it for quick visual proof in PRs—solid CLI/API and test coverage make it production-ready despite 18 stars and 1.0% credibility score. Early-stage polish means watch for edge cases, but docs and multi-platform support punch above weight.

(187 words)

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